{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"5逻辑回归.ipynb","version":"0.3.2","provenance":[],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"metadata":{"id":"NP167sdn5iqK","colab_type":"text"},"cell_type":"markdown","source":["# 正则化"]},{"metadata":{"id":"J6qmzb6AtymD","colab_type":"code","colab":{}},"cell_type":"code","source":["from sklearn.linear_model import LogisticRegression as LR\n","from sklearn.datasets import load_breast_cancer\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score"],"execution_count":0,"outputs":[]},{"metadata":{"id":"R1Anv9Yn46My","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"8e1693c3-c7b8-46cb-8f5f-b8c3d2fe3782","executionInfo":{"status":"ok","timestamp":1546320609844,"user_tz":-480,"elapsed":738,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["data = load_breast_cancer()\n","X = data.data\n","y = data.target\n","data.data.shape"],"execution_count":2,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(569, 30)"]},"metadata":{"tags":[]},"execution_count":2}]},{"metadata":{"id":"cSGTqNMA48n2","colab_type":"code","colab":{}},"cell_type":"code","source":["lrl1 = LR(penalty=\"l1\",solver=\"liblinear\",C=0.5,max_iter=1000)\n","lrl2 = LR(penalty=\"l2\",solver=\"liblinear\",C=0.5,max_iter=1000)\n","#逻辑回归的重要属性coef_，查看每个特征所对应的参数"],"execution_count":0,"outputs":[]},{"metadata":{"id":"pStNcsKK49fC","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":119},"outputId":"d763020f-1f94-48f4-fd1d-b688458b9ba5","executionInfo":{"status":"ok","timestamp":1546320616291,"user_tz":-480,"elapsed":1821,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["lrl1 = lrl1.fit(X,y)\n","lrl1.coef_"],"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 3.98901939,  0.03151962, -0.13561399, -0.01619365,  0.        ,\n","         0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n","         0.        ,  0.50324724,  0.        , -0.07124533,  0.        ,\n","         0.        ,  0.        ,  0.        ,  0.        ,  0.        ,\n","         0.        , -0.24535814, -0.12831617, -0.01443434,  0.        ,\n","         0.        , -2.05267125,  0.        ,  0.        ,  0.        ]])"]},"metadata":{"tags":[]},"execution_count":4}]},{"metadata":{"id":"TRisxx1y4-U7","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"cc8b4bda-f17b-4250-b19a-b76c4c87f2b5","executionInfo":{"status":"ok","timestamp":1546320620289,"user_tz":-480,"elapsed":759,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["(lrl1.coef_ != 0).sum(axis=1)"],"execution_count":5,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([10])"]},"metadata":{"tags":[]},"execution_count":5}]},{"metadata":{"id":"ey_4nxAg5zOO","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"d5ee0734-1ffa-46ca-ef5d-609f8d9f57fb","executionInfo":{"status":"ok","timestamp":1546320829223,"user_tz":-480,"elapsed":771,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["lrl1.intercept_"],"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0.])"]},"metadata":{"tags":[]},"execution_count":8}]},{"metadata":{"id":"4K8yNsbp5OCa","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"655a717c-8077-44ba-9996-716faf8fd3bd","executionInfo":{"status":"ok","timestamp":1546320673179,"user_tz":-480,"elapsed":796,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["(lrl1.coef_ != 0).sum()"],"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["10"]},"metadata":{"tags":[]},"execution_count":7}]},{"metadata":{"id":"UlVZ_dYR4_GD","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":187},"outputId":"a0afcacd-4494-45ab-936b-d6d227a6e3e0","executionInfo":{"status":"ok","timestamp":1546320623806,"user_tz":-480,"elapsed":659,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["lrl2 = lrl2.fit(X,y)\n","lrl2.coef_"],"execution_count":6,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 1.61633404e+00,  1.02277077e-01,  4.86563420e-02,\n","        -4.51852592e-03, -9.54756952e-02, -3.01243409e-01,\n","        -4.58005721e-01, -2.24514795e-01, -1.37408594e-01,\n","        -1.92924073e-02,  1.46668746e-02,  8.80471817e-01,\n","         1.16506317e-01, -9.43003844e-02, -1.00224645e-02,\n","        -2.19490383e-02, -5.58839865e-02, -2.72462539e-02,\n","        -2.79145133e-02,  4.79056334e-04,  1.25205407e+00,\n","        -3.01377258e-01, -1.71782858e-01, -2.21295088e-02,\n","        -1.75737162e-01, -8.75560011e-01, -1.16422644e+00,\n","        -4.31675256e-01, -4.25206314e-01, -8.65919487e-02]])"]},"metadata":{"tags":[]},"execution_count":6}]},{"metadata":{"id":"wRu8GMCs54k5","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"cd1ee841-ed65-4279-95ba-4b41d7ac68b8","executionInfo":{"status":"ok","timestamp":1546320849935,"user_tz":-480,"elapsed":776,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["lrl2.intercept_"],"execution_count":9,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([0.29736804])"]},"metadata":{"tags":[]},"execution_count":9}]},{"metadata":{"id":"2AwUYfQ-5DXC","colab_type":"code","colab":{}},"cell_type":"code","source":["l1 = []\n","l2 = []\n","l1test = []\n","l2test = []\n","Xtrain, Xtest, Ytrain, Ytest = train_test_split(X,y,test_size=0.3,random_state=420)\n","for i in np.linspace(0.05,1,19):\n","    lrl1 = LR(penalty=\"l1\",solver=\"liblinear\",C=i,max_iter=1000)\n","    lrl2 = LR(penalty=\"l2\",solver=\"liblinear\",C=i,max_iter=1000)\n","    lrl1 = lrl1.fit(Xtrain,Ytrain)\n","    l1.append(accuracy_score(lrl1.predict(Xtrain),Ytrain))\n","# 准确率     \n","    \n","    l1test.append(accuracy_score(lrl1.predict(Xtest),Ytest))\n","    \n","    lrl2 = lrl2.fit(Xtrain,Ytrain)\n","    l2.append(accuracy_score(lrl2.predict(Xtrain),Ytrain))\n","    \n","    l2test.append(accuracy_score(lrl2.predict(Xtest),Ytest))"],"execution_count":0,"outputs":[]},{"metadata":{"id":"-x3trjp95bnx","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":374},"outputId":"63944b78-9470-442a-c01b-f9933351ffd8","executionInfo":{"status":"ok","timestamp":1546320986094,"user_tz":-480,"elapsed":803,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["graph = [l1,l2,l1test,l2test]\n","color = [\"green\",\"black\",\"lightgreen\",\"gray\"]\n","label = [\"L1\",\"L2\",\"L1test\",\"L2test\"]\n","plt.figure(figsize=(6,6))\n","for i in range(len(graph)):\n","    plt.plot(np.linspace(0.05,1,19),graph[i],color[i],label=label[i])\n","plt.legend(loc=4) #图例的位置在哪里?4表示，右下角\n","plt.show()"],"execution_count":11,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXcAAAFlCAYAAAAQ3qhuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\no5Vzq3pt56B34JWIRXw64XPc7N14fvscHvrhrxSU55ut1s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hxcTEABQUFeHh44OPjg06n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\nLEiauxBCWJA0dyGEsCBp7kIIYUH/AJKhcuHJS87AAAAAAElFTkSuQmCC\n","text/plain":["<matplotlib.figure.Figure at 0x7f78e64b5a90>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"0hSGOuGV62eC","colab_type":"text"},"cell_type":"markdown","source":["# 逻辑回归中的特征工程"]},{"metadata":{"id":"_LkTJLWQ6bxT","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":374},"outputId":"a2908bc8-f439-47c4-d650-e2d526592baf","executionInfo":{"status":"ok","timestamp":1546322524174,"user_tz":-480,"elapsed":976,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["import this"],"execution_count":12,"outputs":[{"output_type":"stream","text":["The Zen of Python, by Tim Peters\n","\n","Beautiful is better than ugly.\n","Explicit is better than implicit.\n","Simple is better than complex.\n","Complex is better than complicated.\n","Flat is better than nested.\n","Sparse is better than dense.\n","Readability counts.\n","Special cases aren't special enough to break the rules.\n","Although practicality beats purity.\n","Errors should never pass silently.\n","Unless explicitly silenced.\n","In the face of ambiguity, refuse the temptation to guess.\n","There should be one-- and preferably only one --obvious way to do it.\n","Although that way may not be obvious at first unless you're Dutch.\n","Now is better than never.\n","Although never is often better than *right* now.\n","If the implementation is hard to explain, it's a bad idea.\n","If the implementation is easy to explain, it may be a good idea.\n","Namespaces are one honking great idea -- let's do more of those!\n"],"name":"stdout"}]},{"metadata":{"id":"Hp1mR2B7BCcr","colab_type":"text"},"cell_type":"markdown","source":["## 高效的嵌入法embedded"]},{"metadata":{"id":"pW8Hu2yaATPD","colab_type":"code","colab":{}},"cell_type":"code","source":["from sklearn.linear_model import LogisticRegression as LR\n","from sklearn.datasets import load_breast_cancer\n","import numpy as np\n","import matplotlib.pyplot as plt\n","from sklearn.model_selection import cross_val_score\n","from sklearn.feature_selection import SelectFromModel"],"execution_count":0,"outputs":[]},{"metadata":{"id":"tpm0rzHbBGxL","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"e7fec760-a33d-4d2d-97f1-7a06da258908","executionInfo":{"status":"ok","timestamp":1546322774423,"user_tz":-480,"elapsed":727,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["data = load_breast_cancer()\n","data.data.shape"],"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(569, 30)"]},"metadata":{"tags":[]},"execution_count":14}]},{"metadata":{"id":"Tdh3Z_sfBH9W","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"7476e486-c2c9-429a-8d74-b71638598928","executionInfo":{"status":"ok","timestamp":1546322777047,"user_tz":-480,"elapsed":743,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["LR_ = LR(solver=\"liblinear\",C=0.9,random_state=420)\n","cross_val_score(LR_,data.data,data.target,cv=10).mean()"],"execution_count":15,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9508998790078644"]},"metadata":{"tags":[]},"execution_count":15}]},{"metadata":{"id":"u5QD33NjBI0W","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"9b1b3e71-3b57-47e5-9f98-0d52e843e409","executionInfo":{"status":"ok","timestamp":1546322780801,"user_tz":-480,"elapsed":709,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["X_embedded = SelectFromModel(LR_,norm_order=1).fit_transform(data.data,data.target)\n","#norm_order=1 使用L1范式进行选择\n","X_embedded.shape"],"execution_count":16,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(569, 9)"]},"metadata":{"tags":[]},"execution_count":16}]},{"metadata":{"id":"KBI_AavMBJqL","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"2e98ae0a-f3eb-41c6-9f8e-d3fba74aa3a0","executionInfo":{"status":"ok","timestamp":1546322784575,"user_tz":-480,"elapsed":734,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["cross_val_score(LR_,X_embedded,data.target,cv=10).mean()"],"execution_count":17,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9368323826808401"]},"metadata":{"tags":[]},"execution_count":17}]},{"metadata":{"id":"q0gT6Fh2CjUW","colab_type":"text"},"cell_type":"markdown","source":["### 调节SelectFromModel这个类中的参数threshold"]},{"metadata":{"id":"42xrrKWHC2iJ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":153},"outputId":"2ac67750-5d4b-4300-e766-3ddd0b36de70","executionInfo":{"status":"ok","timestamp":1546323195237,"user_tz":-480,"elapsed":728,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["abs((LR_.fit(data.data,data.target).coef_))"],"execution_count":19,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[2.02112622e+00, 1.15595134e-01, 4.41407883e-02, 3.45790262e-03,\n","        1.44387230e-01, 3.86286611e-01, 6.13773222e-01, 3.21160489e-01,\n","        2.10978916e-01, 2.48403009e-02, 1.64195580e-02, 1.19646054e+00,\n","        3.19762380e-02, 9.53617462e-02, 1.57224285e-02, 1.54689958e-04,\n","        4.91766910e-02, 3.79391389e-02, 3.97924547e-02, 5.36873366e-03,\n","        1.25304303e+00, 3.36904555e-01, 1.31363851e-01, 2.38069331e-02,\n","        2.67353874e-01, 1.10081531e+00, 1.51938716e+00, 6.18683272e-01,\n","        6.48554484e-01, 1.10434962e-01]])"]},"metadata":{"tags":[]},"execution_count":19}]},{"metadata":{"id":"_ggPC_evBS3P","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":680},"outputId":"acf4758b-f6f2-49cf-fedf-8ebe209eac7a","executionInfo":{"status":"ok","timestamp":1546322835843,"user_tz":-480,"elapsed":2637,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["fullx = []\n","fsx = []\n","threshold = np.linspace(0,abs((LR_.fit(data.data,data.target).coef_)).max(),20)\n","k=0\n","for i in threshold:\n","    X_embedded = SelectFromModel(LR_,threshold=i).fit_transform(data.data,data.target)\n","    \n","    fullx.append(cross_val_score(LR_,data.data,data.target,cv=5).mean())\n","    \n","    fsx.append(cross_val_score(LR_,X_embedded,data.target,cv=5).mean())\n","    print((threshold[k],X_embedded.shape[1]))\n","#     打印选择特征的个数\n","    k+=1\n","plt.figure(figsize=(20,5))\n","plt.plot(threshold,fullx,label=\"full\")\n","plt.plot(threshold,fsx,label=\"feature selection\")\n","plt.xticks(threshold)\n","plt.legend()\n","plt.show()"],"execution_count":18,"outputs":[{"output_type":"stream","text":["(0.0, 30)\n","(0.10637506431899409, 17)\n","(0.21275012863798817, 12)\n","(0.3191251929569823, 11)\n","(0.42550025727597635, 8)\n","(0.5318753215949704, 8)\n","(0.6382503859139645, 6)\n","(0.7446254502329586, 5)\n","(0.8510005145519527, 5)\n","(0.9573755788709468, 5)\n","(1.0637506431899408, 5)\n","(1.1701257075089349, 4)\n","(1.276500771827929, 2)\n","(1.382875836146923, 2)\n","(1.4892509004659171, 2)\n","(1.5956259647849114, 1)\n","(1.7020010291039054, 1)\n","(1.8083760934228994, 1)\n","(1.9147511577418936, 1)\n","(2.0211262220608877, 1)\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABIUAAAEvCAYAAADb83GCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nqrLG7HhNypC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zsdlxAABodewNfcKaNWuUk5OjBQsWKCsrS1OmTNGCBQskSR6PR9OmTdMb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\ngx40O0azYxRqpNtuG6Pp0x/VPfeMl8fj0f3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MjCQ2NpZdu3ZRWVnJwYMHld9yc3NJT09n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\nv0DkpJBEIpFIJBKJRCKRSCQSyS+Q/wP5UnM+Ka1BtwAAAABJRU5ErkJggg==\n","text/plain":["<matplotlib.figure.Figure at 0x7f78e3bef8d0>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"VZXdHbdACln1","colab_type":"text"},"cell_type":"markdown","source":["### 调逻辑回归的类LR_，通过画C的学习曲线来实现"]},{"metadata":{"id":"fvFOMXq1Be7K","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":361},"outputId":"899efd79-1049-49a8-b591-a671602057a5","executionInfo":{"status":"ok","timestamp":1546323335014,"user_tz":-480,"elapsed":4760,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["fullx = []\n","fsx = []\n","C=np.arange(0.01,10.01,0.5)\n","for i in C:\n","    LR_ = LR(solver=\"liblinear\",C=i,random_state=420)\n","    fullx.append(cross_val_score(LR_,data.data,data.target,cv=10).mean())\n","    X_embedded = SelectFromModel(LR_,norm_order=1).fit_transform(data.data,data.target)\n","    fsx.append(cross_val_score(LR_,X_embedded,data.target,cv=10).mean())\n","    \n","print(max(fsx),C[fsx.index(max(fsx))])\n","plt.figure(figsize=(20,5))\n","plt.plot(C,fullx,label=\"full\")\n","plt.plot(C,fsx,label=\"feature selection\")\n","plt.xticks(C)\n","plt.legend()\n","plt.show()"],"execution_count":20,"outputs":[{"output_type":"stream","text":["0.9563164376458386 8.51\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABIUAAAEzCAYAAACv57NiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n+sXRnfxRi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M1O7umnlJ2sgkI68ilp5Pp1r3zX+2+978p3ZKywEOWdBl/ngKeuAMdbXACa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\nAAAAAAAwCEOhbia/eKskDpgGAAAAAKC7YyjUjXi8Hm06vlXhw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at 0x7f78e3b8e780>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"s5-tCSsHDYRA","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":357},"outputId":"5343b93a-5952-4e05-f6d0-c69b6e0d83b2","executionInfo":{"status":"ok","timestamp":1546323897361,"user_tz":-480,"elapsed":43341,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["fullx = []\n","fsx = []\n","C=np.arange(8.01,9.01,0.005)\n","for i in C:\n","    LR_ = LR(solver=\"liblinear\",C=i,random_state=420)\n","    fullx.append(cross_val_score(LR_,data.data,data.target,cv=10).mean())\n","    X_embedded = SelectFromModel(LR_,norm_order=1).fit_transform(data.data,data.target)\n","    fsx.append(cross_val_score(LR_,X_embedded,data.target,cv=10).mean())\n","print(max(fsx),C[fsx.index(max(fsx))])\n","plt.figure(figsize=(20,5))\n","plt.plot(C,fullx,label=\"full\")\n","plt.plot(C,fsx,label=\"feature selection\")\n","plt.xticks(C)\n","plt.legend()\n","plt.show()"],"execution_count":25,"outputs":[{"output_type":"stream","text":["0.9563164376458386 8.025000000000002\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABIoAAAEvCAYAAAAq+CoPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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A3QGyCXFLl4EFW5299MrJYzTxlanFUVGZVwDO51yeYLQd3vlzlTt2rWuywu8qlzRE6Tshl6o\nIYxu8e4ak9slRpFyP2aqU68CjwfCkCnyoECBpo3LD1V9W+X9eXUvQVJa2sUdRZFHMYp8UuPbnevw\nTY5NVhsMUtsPZn9lRSu6ZdqlnjakGJPDxPWM4CflSocgTObLCdokxGkMO6c1FgFBilHk56Ir6JS7\nOTmpKKpYBFAtGMzaEMDdpUWgUL5z05iiqBG3NbsYjK0OxyhyR1FU/zkDG6MooMGsOZFTlSt6tGDW\n/ve1nsQo8tA9te4YRQF4B2ZYjxFeKooC0M4F3nQXXg1mbSOAbPm/nUZrQ60TP6ZiveCgS335v51G\nmzt73O/bTFbDNTk2cQJn6qLE0kxLqdYA7VkEYc7gNOX3VD1GkfnmcDtCDEUBplJRFLyGyXm04+AX\n9cRg8irArh28mlC1IuWTcmdiFCnS4vLd4mDvcpvhSdaziuwS9V3HC0l8s0YY83M620cYg3E2LokP\nQv1043nbvrbNGEWclaJIbue1NhO8QLkXd40PXvQR5n2qFZqqK5jzEKuFhduqAt7wrvx/NpzImRr/\n7Gyq2A0+3CytqJoof25OlJ33YJzVn9trQ6bdZDXNBlHnBOs630p1DNCrb1ur3HYoX8PacYMNMcRQ\nRPCR8k5TX2nTa4VAZEEzup4FL9h2s5QHT6z2zP3yszaj3WNHNUOFL78Dz0epJ+WDBhug2CV28WIX\nsXyS0aiiSPq3O2V0Q+HitEsDb3Oia4VqIAlAH9Gs0asZeJsGM17gKgJZA1ADLgehnXth/POij1AD\nh9t1PQt4X6vM5yoCobusKjC6Wfu/uJMClJsZW2sH9/Uy257b13Ca8rI6Mq/xKpi1w0kjbF/XtqKo\nOQUlL/IVQeyB1nY9a6W2YZf6FEXmCtF2hBiKAkxlMGupYt6cXcUf/cUr+NHZGT+KZaDdXc/qCSiu\nTASDIFcmiiJr3JlQVQYrBLRFThCUBnbxou5U7tzUqSjywJ3CFUWR2ke4EaOovnpcj2tdNs/h+RfH\nsbxWqL+QNuF9XNDadRvmxOqKoiAZ3NwNZu2BoqhOab+aOCCgfa2iRqMoyvA547KqwE8DrBmSusLa\nfbPq4qzJmGx2CZI63C71qCHs4nR2WCtKPrkzGRVF9mIU1RqbFtJZ/N0/X0GJM84fzBRFbgeyB4Cv\n/mAc/+0rrzt2PjWYdQP9bK7A4RPPvo4XX7vjWHmcRKkPFKQ+WlXncgK+9tIE5lPrumPlOT9RFBH8\nxCqY9Z3FNQDA1Vspz8tUTtAmIU5T4SJjYzAJgqWdxCiyptyX34nno2VyMe4aBX2X2wy+yd0zOzQd\nzNqDlM9uqJb0sm0nFKHNGMzqCVr++vVFfP/VKfzjj2/UV8A68DWYtc2FCi/w5jGKqODEx+E9UEN4\nkaZcaeP2g1kHO900b2EgYWnLt5vxAAAgAElEQVTG1VhrQdvM40RzRVFIeX9V+jGvFS6ttMlWuQHm\ngOuZ4Xm76R7pj7LVmPa+9iYwULt/+eFr0/jaD8fx6tVFw2/MYxS5G8g+my/hxTPTePnMNIolp+Yw\njW+In59IYmJmBT8OgMjBDOXeomzE8PelWyl89/QdfPWF6xXHhmkSzJrgI1YuMsqu7vRixvMylRO0\nSYjTVATdtRFoMQg+x17tvLUibiqKzDLa6L9vBTxRFJW/g7pdz7Tj3WpvbqiWnI7p1owxS39PtRRv\naXnMOXlxrq5r1IOf7rJ1KYrMYk3QtVN7e4Unwaw9VRTVG8w6mH1tSbQK4uyugctuCnCvkIJZm6sr\ngFquZx4pinTKzyCEeLBDqyqKBFHQGbf9iU1X69r1GCjnZNXJ69cTuutYBLOm3HU7vXAzBV4QIYrA\nQjrnyDmbcT07M54EEIy1qxlKfY8wkqFIeddzqSwA4NXL82qWZGXORBRFBF9RGqSSUlFpmMsZadI+\nk/C/sek7CyEAkxCnUQaS8ndghirJDIBc2augj61IhQHWgQmQNmiUxZ8IeMpmM7yI/6PUSbVd1dl3\neBlM18lrOO3O1sxzqEfBox9zZpPrVY9tFP1457miSL62KIo1XBA4UzWEGqMoAH2t06o182t4555q\nFhPKjCC5/5nBWdQdpdxu1R2lPtMUHQgjmpWiyM6mihdjU/l1WiXGY/l6wYl5DS/w2vncUg76mMTA\ncH81+n1AaUM1DEVLklHh0q0l5AqaUtXKSOymQf/sWFIrV6r5cZsXeIiQxpR631WJ43HxpuQFs5jO\nOqZwchKlT4kyRkWR8uwyuRLG7iwbjiUxigi+onTMMVaxbkqVNr1WBACkVvJqR+QXXrip+IkyKJS/\nA9NjfdoVMcOu7/XdSLNuT2bwFoOGOvltobZhdCtxd/Gitqt6jRweqE/caEN2g2faxRiotnFjW63n\nn9bFJjozlqhyZOPwojRpDzEhzw0udusTZ6EKCQUoNXuzqZzt4KV7quJSVosguf+ZYZkW3mWXOaU+\nxNhIIMYh3ioDlGowq7JgN9Q7NxVz/rnBNkr5esGR8UXgVXWFe/XTRyWpyCFMh9V/Wx+nPdtqx+WL\nHJZWpbGS4wXVMMILvKnyhKUZ1wz6JU66vhIRTVHFNEMz2WavTKZRKPKgAIgisOiQwslJlHuKsOWG\nIu3ZnZGNb5zAgQJleyOjlSGGogCjWjfZqOFvZXcXkAKn+YlxsdF+Wc94i3dghl7y77dcmQSztkZZ\nhIYZaYLgxMJCC2ZdbigiiiLTa4hl7SqIiiLdeZ0KRu6moqjeMtazGEpnCmAZGgxNuWYoUoL9SpNn\nfxRF5f/Wo8SRMQtmzQTIIOxGEPbKawRRURScd2BGtYC2yvduoJ/DBMGIJimKqhnMAqAoMhj0W2Ps\nLl8vOKEe40UeEWWe5FrSCP/mqoobJEuztoJZ12pD87Ka6ODOQQDSpoooipYbDKyqRHW+Ll+7k0a+\nyOPY3jgAZxRF+rhE9b6rs+PSvOHYPrk8S/6uXc1Q3kNUZxwVRRFzqSxG+mPoioVwZlx+pxYqsXaE\nGIoCjFppWaO/pH53d94BK3EzKGUK0WzLSHTrQZkklL8D82P1bnj+Gs3aXenVDMqESpsAOafsqDQU\nuTcRcAsvpODaxCti+Lve3wPuLRjciL9mUHs44RrQRBn5OhZDy2sFDPZEcHjXECbn17C0mq+voLbK\nIwWKZn0YS+wENeXlPt3McMEGSM2iXyB6EYze7WDyZoY5MzRFUTAX9paLRbdjFOnmkX7PBVRja9U4\nXzZjxbj4nusJ9B8UytcLraIoMsxVPU9iILVJlmZqBLM2tiGrjWBFefLIvRsR74vi/I0U8iXJA8Q8\nmLV7se3OyvGA3nL/ZoRDjCNrRcPGVB3tTxBEnBtPoqcjhDceHgXgjOHKabRg1soGJoeV9SJyBQ6b\n4104fnAD0msFTM6vgRPM4061I8RQFGC4ssUUJ/AocQIyuRJYRhIUOiEnbAZ10c1GWmoxbJfyBa3d\n3S6/A1oTRZE1yjuNKJJjBxVFoTJ5cSvGKCp5EMCy3ABb76S2JLi/4+tGGwpSjKKSTWMbxwtYzZbQ\n3x3BCXmSp0xCnSToiiJNNVi5yNVibfnfzj1RFNURCL1R2jFGkZkbnTpGuOzmG2UjUowRH9XOirHV\nzGBmR5VnqHcexShqlbG7PGOTMxsRHCJMyLHzmeG3ooih6lEUSc/WaiNYMX5sHunG/fuGUSjyuHhL\nGivNXM+0Ou/sfQuiiLPjCXTFQtizpReb412YX8pCaLLt68cWEdXj+em5MbuC1WwJ9+0ZwqahTgCa\n+ipIqG2I0dqQssbeMNiBE4c2AJCUYkRRRAgEyo5vNKQZKVZkt7NdG3sB+N/Y9B2oIAq+u1w5jbqT\nEKq+q1Ke3tbvBUMrTnS8Qs1sYEMlZvucFq5njMu7xW7gRravctR+I9RojCJvXc+cen/GIPPO1Tvp\nfPW6ntl7hisZaUe0rytimCg5DS9wYBQ3AB9iVaj/tngWSp01c5uhKKrmYsMrvMhU5GnWs7oVRf6/\nAzM4uX6X45miKBSBCNFXtbPSz5sGs7axqeLF2FRxnRaZP5WPqU4pikJ0SEow4Jo60T83P07kZNcz\npkaMorK1mMWzUIwKm4e7cL/s8nV2YgGA+QaDWxuJk3NrWMkUce/uQTA0jc3DXShyQtNK4PJy2q0T\nSlDto3viGOyJIsTSvosczFDuJ6ILZj0vG/9GBztwdN8wwiyNM2MJlIihiBAE9GodQKrEy/KkfcfG\nHkTCjO+GIm3R7ZwbT5AoD25mdX/Npvt2GkPQuTZ7J81S4XrmoAtQZTDr1lMU6Y02bu8iRtjGZO1e\nuAYY25Az789pt75mgq7aTUefljcn+rojGOyNYcdoD67fWUYmV7L8TSNwol5R5PGCwcZzVOqAVbp2\nP8pthhfuOZ60PwvjuxVBjlEkiAJEiDVcz9wzeFOgEJaVIX4+H81F29pgZif7VK3jmsUYoyh49cmM\n8g2wZuuTUmcZxTXLZYMw4P28matTUVTr2c6lsoiGGQz0RLFjYw/6usKqosjc9ax2nW8EJR7Q0T2S\nsWrzcBeA5kOVVBiKbNQJURRxZiyBSJjBge39oGkKm+JdmE9lAycsKFflcQKHWfmZjQ52IhpmcXDH\nAOZSWRT5kuVcoN0ghqIAUykl5dRJe393BJviXVhwQE7YXBnlXQxFqudzbB6n0fsmA1XcEsT6O1A3\nIYoia5RFsZ1sF3axcktRA3S2yGQT8Mp1pSxGUcCDWTu12++0W18zyiq7z3BZjonX3yW9q2N7hyCI\nIs5POOt+JikupBhFvrqeWfQHmqLIylDE+t7OBVHwKCOZ++2vXtezICuKqsVbcts9WQnYy6iLUv/m\nA9XakB2DmVdKn1ZUFJWHqmi2HegVfW6qPL1QB1uhZOCr5e7MCbzR2GpyLC8IWFjKYnSwExRFgaYo\nHNsbR64obe6bG4ndaftnx5MIszQO7hgAAGwe7gbQfKiS8pAadsp9Z2ENi8s5HN45iBAr3e+m4S4U\nSrwh3m4QUA2CjCbOUBRFGwY6AEANDl7gzF2J2xFiKAowWrpLLTOQftK+Oe6MnLC5MholmUGcpDWD\nlsZbziRhMVi6kXK9GVoxGKNXlKtZBAey9amTKnkioaCm/G2RySbgzW5qebuq28jhwWLY2IacVxQ5\nkUXGeL5mjG1VFEVr2uYEoE2UnHY/40VenbS7lWHHDGXnXC2HpaLIWg2hfO53X1u+UeO2obf8345e\nQ12o1qsoCl5fq95LNVWBiwtxhmIDEcOpmkpMKV+1mFdejE2iKNpWWwaJyvVCc+1AeVeMDUNKc9cx\n9iVeqkyUDHy1DGFSogVGVQWZjU/J5Tx4QcToYIf62f37hgFa6pOrKYqcrMuziQxmk+s4sH0AkZDU\npjaPSIqiZjONNaIoOnVpDgBwbM+Q+pmqcApYnCIrRVF/dwSxiPSu7t09BJqiIAWzDlmeq50ghqIA\nw6mLKc0Io3cD2OSQnLAZyt3jWmVQtUv5O7B0S2igA3WTko+7NEFH2zVwXlFU6XrW4jGKXF5oxhoM\nZu25osiBfq1c7eFEMNZmnoNd17pl3ZgDSBLs0cEOXLq1hELRuXotBbNmEfJYUWS3764WowgIhqKo\n8l5aWVGkLVTt4GYGoWap5rbIuOyerCiKQi65udSD0j7MFEVKu6pWPi/HJrev4zRm64Vm4FXDOIsQ\nHXJts6v8+Xq1htBn4KtlCOMFTlVWAeZ9zKwulo3C3i296IhJdd00gLsLasJTl+YBAEf3aoaZ0aFO\nUICqjmmU8nmCnaQ9py7Ng6EpHNk1qH62OS4brgIWp0hZNykeMgWuhPRawfBOu2Ih7N3aC5HiAfHu\nMKHcHXfZoqjpLnVqHXXS3hVWrbLNWombQQ2g52Cq8SBRoZiyqygKkutZm72TZlGeR9jBGEVWagNl\nIuB3Frx68GQRWBHM2h01TDM4bWx1Q+1RamLhVP6erXZy07oxR+HY3jhKnIBLt5bqumY1lF1blmY9\nDbpr17hiJ0aR38rB8nbkjVumu7FL7AazpikaFEX5/g7MUNUZZlnPXI6tpKUA93/TQqmfZm0oZMNg\n5vUGAeBudjUnUeq9U8Gs9e6StdLHO3Edq7/dQhmP1RhFVZVsvKqskn5b+SzmdbFsFBiaxt6tktvX\naqby/G60yVOX5kBRkvJFIRpmMdgbbdowU++7WlrNY2JqGfu39qEjqqlvFFc4P0UOZmjrWakNreWk\nuY/+nQLA0T2DoCggm2uvUCtWEENRgKmQwYmc6nrW1yXFKAL8le9xIg+aotXUj35L752mPC2m5W5z\n2SDjt8HM6aC57US5osiJuFrKJK1cUaRmQ2ohY50nMU7Esr6tiUDMbmdmA5yZyLmxc8o3EfOovK+2\nMszoxxwFp93P1N1divFcGVKhIGjhGEUVsfJcND4ouNW31RujCAjGOzBDqcshk3vxIkYRQ+kXuf7N\nB7gqKjE7BjNP6l1FYpLWmD9VxP1zSFGkZqJ0qT8uf49etV/lvbJqsG5rtzdOVhSF6lQUAcDerT0A\ngPlkruI3bBVXtkZYXS/i2u0l7N7Ui56OsOG7DYMdWFkvIptvPAmF1o/Zc/M9Oy5nO5PnCwqqN8xS\ncwonpykPS5HJK4Yi4zs9tKtP+j4bvLHGDYihKMDwJh1/OlNEd0cILENrhiIfrbLaJKT1gvbawe7g\nW77r5LdxxgvFRavClclLnXE9qxaDIhjZkOziqaJIdVltRg3jgXuNg+6JVn83ds7GDWaVO+fmv0+v\nFdAjjzkK2zd0o787gvMTSXC8E4ZW46IE8G5Ba1tRVKWNA9Lk2e+NEq+Urd4qiuwHDA1CnCgztHgv\n3mU+Uq+tpgAPkKLI5J3accPxpN55ZGx1mopNzaZjFGmKvnZUFOlV4CGmuoqVE2RVHmM9Ns2nsmBo\nCvG+mOHzzcOSkWFmoTLLF6sqzp15tucmkhBFLduZntEBSRXTjAdKSZCMTLGQEluyermVjaT7dOom\nAIhFWPR3R3z1hjFDXe/Ja4OsHIh8dMBoKOrukupBJstjLVv0sIT+cHeE7G5RtCwGumDWmQJG5I4o\nGmEx0BPxWVEkT0IczDgiiCJeOjMDgaKwvq5FxacpCk88shNOhQ+bSWRwO5nFtqEOy2N4k3dgelxF\n1rPqz+H0lQU8dKR281tZL2JuJYH5hTVkCxzyRR65Aoej94xgU3/M8nfGnTetbEurebx4bhara8YA\n6J2dEcOzBoBIiMGvvHVfzTKeujyPNxytfS+Xby1hS4FHT8TflJLKO3XW9cx6pzQU0F1uK7xIV1vR\nt9XteqYvY/0TyxuzK5hdzmNjX9T6GqLxOYiiCIqi6r6Weo6K2BfO1TugAfe9svKY7dCLooh0pqBm\n/FCgKArH9sTxwzPT+MtvXURYt+VE0xR+8ZFdqKeV6yftXi9oy69jVZ94XRnNsLOYurOwhumlHDYP\nWPfd9ZArcPjGi+NYWpbmAOti2vC9U6qLsallpNZLGOyURl+n1XZmKO/h4s00HthubxfcD0XRWraI\n86/expHt/Zb9g1XdEQQR12+vAgB+NjaHuYmbAJqb64xNLeNfzsyo43muVIJYDGMhlTeUxS65Aofv\nnpzEfTv6DcbiRlDqitk4eWMmYzjGDC/qXfl5T1+dxZ3rXerf5XMliqLw1oe3o4OpPjaMTy9jca2I\n4e5w1eMaRan3F8eWAQBj00v4hzmpPrEMjV9+y966zqcpiuRgzy4bhNXryn/nChy+/uI40svG9Y0o\nAjTLILWcRb7AIVfkkS9y6IiGwdKSm1UswqAjyuLf/NxuWD1tvUKUoiUDDi/yYExGLl7kEWIilmpX\nURQxl8piuD9W2Ubkc2eyPO4sZLBtQ7f6lWYk5tTz/OTiHB49vs2i1NU5pyp4hiq+U1Qx86ksdm3s\nbej8ahysUAyrhUxVo956voTrd5axZ0sfBnoq51kbBjpw9XYa+SKHaNh9U8RKpoCLt5dxaGuvZT+t\nefFI5VUNRUOdpseJAo2fXZnH4W39bhU7EBBDUYAp3yEolEooFHk1qCggNbYrk2nkCpwald3rMjIU\now78TrjxjE8t48v/Mmb63XQqi99558GmrwEAX/inK5hJruN//N4jls9OWYhpaTHNO0ZNkhlCSShV\n7UBnkuv4y29fxrkbKfzHdxywPI7jBXzsb17FSqbSYv3d07fxmQ+/SU03WVkerdwlnlMXud89dQc/\nPDNtec1yBgc6cdxk0FG4s7CGL/zTFVy+vYz/8OR+y+MyuRI+87Xz2L6xB//lN+63fX03UCZUSgpM\nJxZTyo6T2QDEMmxrKYpEDiGaRUngXAxUW64osv8OeIGHCBEiT4NihLoXhoIo4nPfvIhcnsNnfvdN\nlpMUfRsq8iUIomDpdmQHLeB57T7C/jkVo2eo4RhFyv2Z/T5X4FEsCQa3M4XjB4bxwzPT+N7JyYrv\nFpbz+M1fvMd2WfSBoqvFgXADddIn16eSZRw6Jc6MhaGIYWsaFP/2u9cwtZjBn3/4TeiKNb/lcerK\nAp79/nX1byq2iuhh7V4ciYPF8fjM186jpzOMT/3HhwEYx0W3XD+Vdv3C6Wl0YxxPPLil5m/8iBP1\njR/dxI/Pz+KPnzqK/RYLBi3ei7GvOX8jiZ9eXEB4N3D+RgJnFifV7xqZ6wiCiP/3Hy5hdV2bM0Tv\n51DMc3h1dgHsxvoNLP986ja+c/I2/rdf2Iefv29TXb8tRzWYlbWhbJ7DF/7hCkJHayiK9PXOZbWc\n0obOjC+CT1Y37oxNr+A/v+c+63PyAj779QsQAfz5h96EEOu8M4dS7398ZgGRPcCtuRWM3Z7UvgeF\nd77BvgHCsxhFovk49MPXp/HNH9+0dQ6GpsALlW5jS5kiPvCk+TikV4jytPZZ2KR75+VEC1bqv9X1\nIrIFzrT9640KZ8cTBkORGshefrbnb6TwN/98DVOJLN77lt3VbrkCURRx9U4am+JdGOmv3PxWDEXN\nxClS7qVDVhQpCiMzLkykIIgiHj48avr96KBkKFpYyhmeiVt859Rt/OC1afz+r95rCKytR93AlNcG\n+VIJsQiD3s5w2XHSc6BEGgupLDEUEfyjPI6HYt3UT9pHBzpxZTKNhXQW2zf0+FBGaYGsdHiCA4PJ\nTFLyW33PW/dhq07t8+wL13F+POGIBXpxOYepRWkHa34pix2j5s9OGiAYhGRDkXUwa82dqSSUqg6q\ns/L9nb2+iMLb9yFiNjIBuD61jJVMEUd2D+GerX2IRVjEIizOjiVw6soCrkymDQHrjOWRLf9sFEV+\nTV3kziQzoCjgD999HxjdYqavrwPLup2bxEpOGrAW1qoaipR7ef3aAp5+6x6EQ+b3cn4iCV4QMTW/\nBkEUQTehzGiWiqxnDsWfsQq6ytIsSlwLGYoEDmE6DF4U3FsEVqQhtf8O1LYlsABTRK5Yn/T35uyq\nany9dHMJD+wfrlpGqQ2VUBK4uuKlVJ5Pm4RIfYQz7mwUKESYsKWBo9pvAe3+zBZeSiDr/u5KQ9Ge\nzX342P/+IMLRsKHv+J/fu4bXry3ifW/bq6bnrVkWXaBozxVFynuQ6xPHm09+NdWTVdYzRnVfMDMm\nCaKI2eQ6eEHE+Ykk3mgxga6H2YTU//77J/ZjuC+Ghfws/tfMT9V7KVncSz1cmUwjX+SRL+bUDSn9\n+OKeokg6ryjSOHVpzqahiAXHeacoEkQR5yakXfyZ5HptQ1FZ/3FmLAFRkFapj92/EUf7jgIAnvuX\nMZwbS9S9AXhzdhWr60U8fHgUjxzaAAD4ixsvoKszhlRauk69Lp2K+8jZ8WTThiLtORjv6cLNJDiO\nQghaXJBqv5fqnctulXIbetvxTTjce1T9vnyu9LWXb+Da7SWsZAroNTGoA9Jcbj0vnffanTQO7zRf\nqDZVbrl/ogSpjh3Z3Y+3vOEoRACf++YFnLw0h3/78FbbqlhDjCKGVePI0ZSzRi7jXFWbO58ZS4Ch\nKfzerxwxqHQoCtgw3IN8roCYrB4KsQwGBjoxNbuMXIFDvsDjk18+g6mFtSr3pxn+9Yoi0zKKnMEt\nunx+P6cGsq400GgbDDTOjCXxS4/sVL8LUazhmDPXpbZ2+vI83v3oTjC0/WedXiugUOSxY6P5WmaD\nHJB5ronMZ8pY2RGKyeW27mvPjEv3cuKQ+TinqJTnltY9MRTNyGPlmbGEpaFIqRPK2qDIlbBpsLOi\nzSjv6/j+UfzKz+/FcjpYsZachsQoCjDliiLNUKRZNzfo5IR+UB4o0YlJo9LpPnRwA/Zv61f/u3/f\nsJRp52bzmXaUDhmo/uzKsx1Yx68wBkGrNolRUlQWOQGXbqVqlvHdb92Ltx/fip+7dyMe3D+Mx45t\nBgCcHbcOJKtlazO6zM0tZRHv78DB7QOGZ3t495Dh7+P7RwAA04vWAy2gvat8kceVybTlccpks8gJ\nWFrJWx7nBeq7cjBTn2IwNSMIsUvqgRe0Ou/aIrBCUWR/0q/KtHnpeS+uZOq6tj4A85mqbUguo9yG\nmq0n5X2EE3VCSX3diGsAV3Z/ZsZtJZB1v8UCaOtId0Xfcf++YRRLPC7XkRFN7wagKoo8UoYUSpIx\nRalPiVXz8YAXtIWFGVpsJfP3urSaR5GTFLdKkM9mmZODgR6/Zxj7t/Vj04g0HwjT0vtKZSoDqNaL\nvr0spKVnozf0uvWeCpxs5BJoTC1kbLnYszTjaeIAxTAD1J5HAEYDCS8IOD+RQmdUGocGekNqG3pg\nXxwcL+DiTev5gRnKnODxB7di/7Z+7NvaBwECBrpigCgtdurp0+dS6+oYf2VyCblCc+/aKkD5mbGk\nmmp6JWs9P1CN7aGoa2NqgZPeJy1Km4ND/ZGqc6WHDoxAFIGzE9Zt2jDmOJQAoJxcQSr3jg3SIriz\ng8X+bf24Z1s/Du8cxOJSVt0ctUN5jCLAGY+BcrRsbYobOoel1Twm59dweNcQDu0cNDzvfVv7sXtL\nH0b6O9DTGVZV9QxDozMawlBvDJuHuzA62IG55LplDD1NUaTfnLBOZMBWGZsU40u5izag1fktw72Y\nTmSQWNb6ZP2mCC8IqtF5LVvExPRK1edWjhLvR8koVk5PRwgdEbapUCWqoVY1FJk/r2KJx6WbSxgZ\n6FCzc5ejZBLzau2q3Pe58QQEE/UZYPQMoSkaIiVUxCcCtJhS3dGIK+rAoNH+d9jClCuKlJ1z/e7u\nBgfkhM3ACUqgROfcBRRDyqayDuaYrGypZiCxi36BOFcl8r6kFNFLTi1cz+T7jjG1FRL6AG5WkwZB\nFHFmLIGuWAgHdxit3zs39qCvO4Jz48maHV4Hqw2+2TyHlUzRsuPWEwkzGOyJYLrGxMLOvRTKFo1+\nB7CrcD1zSFFUPRtS6yiKSgIHlmal2Eou79o2oiiaW5KMl6wcwWNh2f5ujii3q0iIwVBvFOcnUlUm\nkvLuma4NNYNSB7Q+wgFFkcipQTbrj/NU+/7SSsYzE0WRFY1kRNMrLrxOjDAxKxm4lfp0e9F8gq5f\nWJjB1Fhs6CfEl26mUCg5s6ky1BdTFbZKX9YVkd7p7YX6FhvlCIKmmFGuB0jPgqZo2QXInfe0uCK1\n68FuaVFiZ9x3MzuTGWfH7M8jAKORcWJ6BZlcCXs2DkjH6Op7o1kFz4wnEQ7RuFf+vWYMDmGwV1qY\nZQrWip2K88nX3xTvAseLuFSH8dcMvfFBocTxuHgzhcGeKESRwlqumqFI67PcGpsmZqQYP51he/3+\nsT3SvLTaXO7sWAKdURa9XWGcrTJva4bkmtQ279stKcn0c45G6pOWYICt2bc1Q+VclVcN6SdkVVwj\njA50gONFJC02JvVxJautX0RR1G0YV1cUbSyLZQNoz2yX3M71mwSq65nAYXxK6g8UY1O9mwnK+GI1\nv6coCqODHVhM5xpOQGF3TnTldhqFEo9je4YsFWxOuMLZJVfg1LnMaraEiRmrMV6rEzQYULSgrrHN\njrPaHG43iKEowGgBX+UYRfIOm9H1TFYU+bT45kQ5RhHlnKFobimL/u5IheR620g3hnqjuHDDenFn\nh5X1Im5Mr2BkoHZHpVdXANaLF8WAFLGhkJhLZcEydNWF6o2ZFaysF3HfniEwZcHxaJrCQwc3YDVb\nwo3Z6h1eVJedYH6p+kBSzobBTqRW8lV3EedT64iEGQz0RHBuIgleqLyXSzeXUOQEW8/bC9R3pbie\nOZGmXKiuKGqlzHO8KKtUmJBru/PlfVs91zl/U5pADXZJ9TidyaFk091kJrmOxXQOh3cN4uEjG5Er\ncLh2x1wJp9+91v/dKMrvVdWhU7GxKNmoV6cxki+7P7MFdjXXMyu2j3ZjsDcqu5va66eVZ6GPUeRV\nXK+xaWnxO9IrSfZnkuYqSlUNYWkQrj5GaO4JnShyAq5MNrfoVia/+v5cqQN9MWnBMm1xL3YZn17G\nWrZU0XfzegOlS0bwhGeA9VwAACAASURBVGwo+neP7AZN2Vs4SbFUvDPKn5UNM31dkZrzCMC4sDgz\nJt3Pvi2yoUhX37cMd2FkoAMXbqRQ4uy1obnUOhaWsji0Y1B1+eR1BtidG6SUzjdnrZW/5ZwZS4Cm\nKPz2Lx8BYDSMNYKZoujyZBqFIo8H94+ABoMizyG5bK6E01SeEXCidTrzZrg2Lam4emNSna/V7w/1\nxbBzUy+uTqaRzVfWvVtzq1jOSHO54wc2YHW9iJuzq46XOy2rBx/cJ7kH6vvzwzsHEWJptc7ZwegO\n7FyyGqvraMpdTjUKHz/YuHuutolubsDVZ+Cr5u6sZEJjq4xNyuanmaJIOee+rYOgIClaFPQqVGXz\n+tce241YhJXcUuuo38p9VpvfbxjsAC+IBlVTPSiZUdWsZxZ9rdJPHN1bmX1Noa87gkiI8WTtqlxj\nU1waF60MpsoGCE3RoEEDlICNg2bGP2ktTgxFOj7xiU/g3e9+N97znvfgwoULhu9+8IMf4F3vehee\neuopPPfccwCA06dP48SJE3j66afx9NNP45lnngEAzM3N4emnn8Z73/te/N7v/R6KdcaWuNuoCGYt\nxznRT9r7uiMIh2jfDEW8YEy92uxAki9yWFotmPr6UhSFhw6NYj3PYXxqueFrnB1PQATw6H0b0RFl\na0rGWdo6iJ16XFkQNKvJhSiKmF/KYsNADCcOjyJb4HDd5F5el93OHthn3tEqfr9nLQZ+VeGkc4XT\nBhJ7/sC1jJCCIGJ+KYfRgQ48dHAUmVwJ41OVhitl0H/yoa3S+ZrwkXYC5dk4mvVMVuGY0XLBrFUV\nHeNZMOt6rnNpUqpPA7KhiBeruz3qUSYIx/YMqbuVVpNnLR6GU+mGtThm+r+bPaey01m3okisfX/L\nsqHILJi1FTQlGbLX8xzG7tjrp7WFNKNLQey+cVUQRNyYk8o40ClNCFdzeSyY9Hm1FEW1xghlMfHL\nj0pBSq36brsobmAGQ5FcpxQ1RDqTVXdSG0FpG+V9N6e6YrhjBC9xApbWpMXM/i0DuGfHIG5MrxiC\nNJsRokOeKYrmUuuYlw0z20d7kF4rWG6qlO9Ai6KIs+MJxCKaAUffH1AUhROHRpEv8rh6217fphjS\nju7RYgqqBliaxe7NkkHqxpw9ldnSah635tawb2sfjuwZwmBPBOeb3KQzC+qt9sl74wgxLEAJlkZB\nRblby82zUQRBVBWGfR1Sf2Cn3z9xaBS8IOLCzcpya2NOHCfkuGROu59l8yU1ttPmISlOlr7csQiL\ne/fEMZ3IYNGmkUDNUEcxCKlKGvcURco4lMkXcP3OMrZv6Ea8SmbfWmys4dqkz8BXTVHEifrjzPv4\nudS66ea29HvZeN8Zw86NPbg+tYxMTjY0yJsOJb6Es2MJxCIsDu0YwAP3jCC5ksd0wv5cWTFUb4pb\nG4qadffSgllL76VkModRVKg9nWHstIiXBEjzhJGBGOaXshBcMPjqUe73iTfsQDTMWBrhFIU2IAUf\nB2WlKFJc1IihCADw6quv4vbt23j++efx8Y9/HB//+MfV7wRBwDPPPIMvfvGL+PKXv4yXXnoJ8/Pz\nAIDjx4/j2WefxbPPPov/+l//KwDgs5/9LN773vfiK1/5CrZt24avf/3rLt1We8CJsrybVQJryR2O\nbtJOUxQ2DHRgwYPGZlVGfTDrZgfuhSVpEBsdqLTiAlLcIqC5GA/6icnm4S4spLOWO9+8HKQ4VMMd\nQot7U30RuJwpolDksWGwU80GUD5pUNxjomEG92wbMD3Pkd1DiFTr8ITKXZp6FUWjNeJfJVfz4HgB\no4MdlhMgjhdwfiKJ/u4IHjowAooKgqKozPXMkRhFXNW02UqQ21ZAcSd1UwnFybHNQmo2QXvXWVkv\n4o7sGtQlL4YpSrQ98T47lgRDUziyawgHdwyiKxbC2fGEad9ZEcOnScOOUs9q9RH1oBgoQ43EKKpQ\nTJkYitbqVxQB0PVt9vppfQwXL4NZ35hdUWP/KUZLUIJp7Cp9umgzasWxm0+tgwLw5vs3o7crbKnA\ntMuc6mqgGf65sr4NlNF1rB70xowTBzcgFmFUY5cyoQ7RLHiRd7xvu3o7DQFanXjo4AaIQM17UbIz\nuaE0KUdvmFHGVMV4V44SaF5ZGE4tZpBcyePIriFEQ+ax8qzmB5blkdU/+gQXmmqCwXCfVMbpxKot\nt0fl/o7tjYOiKBzdE0euwOG6TeOvGfrFOSAvKsflReWmHkRDIYAWLN0M9WOT/nxOMTGzglxRWsTX\nY9C36u+kuZykOju4YwD37YlXnbc1yvkbKYiQ2mDMIgaeWsbr9uoTrzNuOrURbEa5omhiNg1eEKuq\nUexQKyyHPgNftRhF6nOgzD0LcgVpc9tMTaQ/J0uzuG/PEERRSu6ifAYAqbUcUqsF3LtrECxDq5tY\n9Sj45peyGOyJIFol+L2y+Tvb4Gat6iZYJUbRxMwK1rIlHN0zVDNpzehgp7Qp4HLcUsUteMfGHhzZ\nNWhphFNiUQGAIFCgaBHxvkpjpaa2I4YiAMDJkyfx+OOPAwB27dqFlZUVZDJS3JJ0Oo2enh4MDAyA\npmmcOHECP/3pTy3Pdfr0abzlLW8BADz66KM4efKkE/fQtmiBoqXKWOQ5MDSFrg5jWt0NAx1SkOBV\nb4MEK1kQGAeD3alB4UysuABwaNeQlPlrPNnQQJsrcLg6mcbW4S4M9cWwebi7hh+z0fWsVoyiWjFX\n9EHvDu4YRGdUymKmX6jeWZAmkffuHrIMlBYOMVKAwuWcmnlMD6/u0mhuM3M1fJjLUbMkWMRemFff\nVScOq+/FOAEak7N9HNsTRzjEYGSgo6msC06gvKsQHQIFypHJpuICZEaoyiQkiEjupKyrsZV4NYtI\nfQbm8xNJiJTUxyhtjQ1Ji+FacR+SKzncXljDPdv60RFlwTA07t09iJVMEbdMXAF4VVFk7ZpVDxVx\nmZxweRT5htMXc2X3Z9YO0msFsAyNzmh9E6JDu4bQGWVxZtzegkgfKNpNN4dyzo4lQZXVJ4oWTBfn\n+nTRZmgqB/M2M5fKYrA3imiYxdE9cWRypboDlpafDzBXFKlGryqL7lrojRkhlsam4W5pQ0oQVUOv\nds/OGorOjCUASqo3LM3gIXnhdK7GBpFbShMzzo4nQFHAvbs1Q5HlorRMUaQ3MimujOXjw/7tA+ju\nCFUNvqqwnCng5uwq9m7pRVdMmx/qU4DrF7lXbMQaUtqAolBSFu7VEgDUgi8zmI1PS+oKZVEZYUII\nscCYHK+lHE40pil3enw6M5YARRv7Azv90LYN3Rjui+HizZTBDXoulcXCUhaHdwwiHGIM87aZOtQi\ndsoNWgQFCizNms5rjh/YAIqy//44M0OKC+2KK5ur3piVDJHH9lhn27VDvC8GhqYs56/6eDTNKIpm\n5DieZl4Q+mNDDKvGilL6MeV800lp/qF8/8A9I2Boyva7UtyQN5i4SekZHXJGURSrsrmk9Ru1DX1e\nhU7Rb6pUi9elbLyJogieo0AzgiHjnkJJnQsQQxEAIJlMor9fS/k5MDCARCKh/nt9fR2Tk5MolUo4\nffo0kkmpAUxMTOCDH/wgnnrqKbzyyisAgFwuh3BY2j0ZHBxUz0MwR1EpMHI6Sk7g0NcVrrDSeh09\nXkGZHLI0q8UoanJyXy3NJACEWBpHdg0itZqvK4ODwoUbKcNuRe0JHm9roNTcSqr77urvj2Fo3Ld7\nCMuZIm7NaQvV18cWAQD319hRqRZEsVS+KJVdzzoirG03klrB5maT8r0MdCDE0rh31yBSqwXcWdDe\nizpoyIHINw93YzVbMp0EeoU6cNMMGIey5CguQGbUyqgRJBTjr6YociuYtdSu9MEc7WCYyMttrbuT\nwVq2hPHp6jvdiqvPMV27qj5pkCewNfzx7VLRRzioKNKnL663PNUmfelMAf3dYdsplRVYhsaRXUNI\nrxUwOV87To6mKGJcWwSWoyg3ZcGu+l76ukO4MbOqut0pWGVsUqimKMrmS1hZL6pjtdJ3N6OMnTeJ\nSVGuWuvpZHB1Mt1Qtiq98la5jrSpkgMncAjJ9Q5wtm+TVCYJsKxkHGEoFhuHurBpqBOXJ5dQKFr3\n105mX63GSqaAmzOr2Lu5D12xkKrqshory5U0Z8YSYBkKh3cOWiroGJrC0T1DVWMRKpybSEIEcF/Z\n4kyfAlzd/abMDaF6MrkSrt9Zxo7Rbgz0SO1i75ZedEZZKYlGg2oY/eIc0BQ4Sh1jaRYsKwWAvnCj\nsm2oyVNcqHdKfxCS7WxKf1Cy0Q9RFIVje+MolGV/LW9D0r+rB7+ul2JJCgYeCkn1n6Io03lNX3cE\nezb14sa0FP+yFrygN5C4GKOobBy6k1jBcH/MNDB0PbAMjdGhTswls6abFbxNFauWkdPcQKlkBh61\nMNLoEzWMDnZiZKADF2+lUCzx6rppPp0By9A4tFPyIOiIhnDP9n5507i2q6BiaDHL0KVnqDcqG88a\nNBSJiuuZ+eaSokKVvCH6K35fjlfJmOZSWcQiDPq7I1Kfy1Dmcz455u7KehECT4GmrZIFae/0bqBu\nc5i+wVEUhU996lP46Ec/iu7ubmzevBkAsH37dnzoQx/CE088gampKbzvfe/DCy+8YHkeK/r7O8Cy\n7fMi4vHK2DBVP6NFhBgWFCXtEhQFHkP9HYbfxOPd2Lt9APjJLazJE6i6r9PgZ7mSpMKJRSNqg+no\nClWUz875lM+X5AHs0N5hy2N//tgWnL6ygLGZVdx/aGNd17ks+/u/5aFtiMe7sXlY6uTX8rxpuXmR\nRzQcVgcINkybHhdNSt8P9Eh/h6NMxfXj8W6syAaSA7ukicObH9yKVy7N4/r0Kk7cK7Wf8zdSCLM0\nHj2+TZWRmt3Low9tx5e+cxUXby3h/b90xHAcxYgI0azk8w8g1h3CYjqH3Vv6QFGUrec1NNSFjiiL\nxEre9F6Ws/K9yJPTNz+wFaeuLODa9AoeOLwRoiji/I0UumIhvPHYFrAMjc3DXXjt6gIKArCjgXri\nxGeytxM2DPdLEytGNL0/u+fkBR4iRHREIqbHsePSO+gdiKEv6t49O3HOopwauCMaRbYkgheFpp6N\n5We0iBArpSBlKBo0U3l8+d/ZfAlXb6exYXMMaQB93V2gQKGnO4QFANemV/Gm+7daXvvi5BIoCnj8\nxHb0y4ufn39wG774T1dw/kYKv/2r9xl+S8kL1ahsSejqiTTVt3Wsy2mw5T6CDVW2w3qfIyfyiIXD\nqmqtfyCmuirX+i0Tlow/iqtCR7ex7x4Y6MTaehH37Bhs6L4ffXALTl6ex7XpFRw/sqnqb6dKUpl7\nuzvUsaSzO9zQde1+dnt+FYvLOew72oU70N7LhqEYEgAm5tbwxBuG1N9HFqRyDfX3mJ4zNCO9g+7e\nCOKDxnJfuy0pOHZuluLRvOn+rfj8ty/j3I0UPvTuow3dS2Ilj1iExUBPVDXkRZeVcUgq48hQDEvX\nRNxOZvHIfdXfQTkXbi4hJI9DsQirGqSynAgBAiK6etfXH0WPQ31bKlvCaraEDd0hrAAYHZae2Rvu\n3Yiv/XAcU0tZPHzYfNxnr2vtoCuiLdycrjs3FjIQAbzp6GbE492g5axz6UzRfH6Qkr4f7OvGfGod\nU4sZ3L9/GFs392MpJ707JlzZHzz64Db8+Pwcrk6t4A1Ht1iW58ptyUj+loe2IS4vWOPxbuRXpPlN\nV2dUm6PFGFy4mcLAQKfl+W4tZiCIIh6R7w8ANoz04qFDo3jxtSms5Hns3dpf1zOLx7sRTcjPob9b\nnh8k0RFl8cj9WxFiabAMC1rudy/fXsY7H91rOJ9IiQiHtHrX2x9DvNOZendzZgXJlTzu2dWNSWj9\nQahszmf1+8eOb8P3Xr2DK3eW8fjDOwAAF24tgaEpPPbQNnR1hOXjtuOvv3MVF24t4T/8uyOW57P7\n2Uw6j2JJQH8Hg5I83wvRrOQ2U3b8I8e2YGx6BTfm1/D2E9urXkftS/q6kEzq+rYBZ/vk0E1pIzym\nU+O/8d5NGB4272fruc7m4S5ML2YQioXR3x01HNeRk95HX3cn1kuSocJszOHlWGldHVF1HRCNsepx\n069NAwDu2Tlk2vZDM9L9hegQ4oPdeNO9G/GNlyYws5zH8Kh0j5l8Acf2DWPLJs248nPHtuDSzSWM\nz63hnt3W66F4vBsX5fa/Z/tAzWezMd6JhSXJeFbvu6LluXNMdj0LRY1tY3JuFYnlPB65bxM2jvbW\nPOeBkrSxpawl3Jjz87yAxXQWOzf1gqIobN3cj3v3xPH6tUXwNG34rQAesVAUOV4ERBowaUPxeDdi\na/I409tlee12oqahaHh4WFUJAcDi4iLicc06fvz4cXzlK18BAHz605/Gpk2bMDIygieffBIAsHXr\nVgwNDWFhYQEdHR3I5/OIRqNYWFjA8PBw1WunLfy9W5F4vBuJxFpdnxVKJdCQBnclAntXlFW/V47t\nkN2TJuTsPfVep9HPMiVpR1MoieoO0fLKekX5ap1P//nt2RVEwgz4QglAzPT32+IdYGgKPzk3g8eP\nbbJ9nd6+Dvzs6gLifVF0shQSiTV1J3DizlJFuUVRktgLPKVOstazOdP7W16TngVfkCZ9a5ms4frK\nsbdk1UNEtlRvGYghHKLxk3MzePL4FuQFYGohg6N7hrC2msNaleeYy+Sxf1s/Lt9awvUbCezbFVeP\nyxeLBjeOiTtJ8IKIoR5pMLb7XjYPd+HmzArmF1bA6DrVRGINt2aWQVFASDb6bh2KgWWke3n7A5uR\nznFIreTxhkMbkF4y7n5fuZHAYGfI8tpufpaVgz6mU1kwNINCsWT6ruyes8hLxhVlc6X8OGVSu5BY\nRilKuXJ/Tp0zx0mTIoET5UC1HBYXV9WFqFPlLpRKoEWpPjEUg1yxWPMdXJ9dRYkTsGO0E2keKOal\n7GwMLSIWYfDK+Rn824e3Yni4p+K34VgYl2+msHNjD7hCCYlECfF4N1aXszi4YwCvX0/g/NV53Hdg\nVP1trlA0qAmTS6tIUI33bUvyok3pI9Zz+abqndQ/cXL/JJVxbnFZjR9Qsx3IaaiVndyl5QwSUe3+\nbtxegiACnRGm7j49Hu/GFllp+JNzM3jiwS1Vf5tallSI+SyPvh5deSL1X9fuezl1aQ4AMDIQwZ01\n7b10xqR6+aMz03hgz5D6+xU5/XRmtQAMV7ZzrZ6soVcwlvuqHJOit0M6Zjm9jkM7BvDq1UWcuTyH\n+w9trOteBEHETCKDLcNdoChKG4dWpecoyPfS3SHdy49fn8L+TT22nw9H0ZicW8W9uwaRWc0hAy0W\n0rWbKRT5EiBo4+JCcgWFSH3vwOqzF1+9DQCIRWisFiikUuuIx7uxf7O08PjRa1PYvaHb9PdKeeYT\nK+iNCI6Ux+yzH5+RFod7NkrfDw11IRpmMDm3UnV+kF0r4fQNKY7nwe390jyqKLVDs/5gY18EkbDU\nt73jhHnf1tkdxbmxBDbHu8AIAhKJNfXaiTVJqVwqCGr9HB2KYux2Ca+cmcLPPbjN9P5efm0KALBv\nU4/hfAe29uHF16bw4qu30S8vlut5jlobKuImt4LFdA4PHRjBclp6PqyshBkZ6MCZa4uYmV3Gpo19\n2rjBFRFjtQX7YmIZVDbc9DsFgJMXtf5gclXrDzK6OV+1cw50sujpDOPUpTm8+827QIdDmJhaxoHt\n/citF5BbLyAe70ZWnrddurmEq+OLuGfPcFN18aWf3QEAhFhAEOX1AkUjX6ocU/dtlNrwj16fxrFd\ng9Xf1ar0TtbXSmq7Si6topt3tk/O5KQ5hzIOgRawf7Ox3pVj9zpSnzWPy2OL2KczbCYSa0ivSH1l\nLltCKCLNRZeW15Bgjfe3uC61Ia4oqs9hRTe/n5IVRTFW64f1ZVlbl+6PpaW1275NUj/28s/u4Bd+\nXo5BSgk4uL3P8PvdG6S58r+emcbD+4er3vPYZAoA0BWWylft2cR7Y5hayGB5rQCuULI8zuyzdWXO\nILsJrq0b1znKmHpga5/psyg/ZwgiKAC3ZpZrlrvRzxaWsuB4EUPyvCKRWMOh7f14/doifnBqEr/x\niwfV3xa5EjqYDly9kYQo0BDBm7Z9pe7k1znTcrci1YxdNV3P3vjGN+L73/8+AODy5csYHh5GV5cm\ndf7ABz6AVCqFbDaLl156CQ8//DC+/e1v40tf+hIAIJFIIJVKYWRkBG94wxvUc73wwgt45JFHmrqx\ndkeJUQQANMUAlGDqNqQEUfPc9UyXFaHeWCNm6LNoVXN1iEVY3LOtH3cW7ckyFc6PJ1Ao8mpwRkCK\nr0NT5lJMQRQgQixzh6jlelY9/sjcUhb93RFE5R3IcIjB4R2DmF/KYja5jp9enAUA3G+R7awcKxcG\n1SVFWbzIqYat5LFWVIvhNJfKIt4XU+MoRcNSxoaZpJSmVxk09LJrZbHhdV3Vwwk8KFCgKRqsHIy1\nufNV91f2Mjhvs6gxLeSU64A78T54OfYXIAUHtnONUxelBdb2jdL4o7hc8SKPI7uGkFyxdkd99fI8\nRNFYFxWs3M+0QNEh9e9mULNYqn2EM8Gx9S5A9bwrNZi1RYwiJVtWPRnP9ETCDA7tGMBcKlszLpkx\nRpF7gVP1nLo4B4amMDIg3b/yXhhWxLaRbly7nUY2r02k7bqemcUoUuJk6F0DlHrXiPtZciUHjhex\noSzpgxorT76XaITGYE+07mxVyqL5qKHvltrd/NK67JLtXNtQUNx/ImEG4bBR2r9tQzf6agQBrxUn\nyglyBQ5XJtPYHO/EsBzolKIojA52qDGcytG7XJ26NAcKwFE56HS1+IchlsGRnYNILFtnQDp7PQGO\nFwzZzrTr6lOAS9fZMCTVd6tA8/kih8u3ljA62FExXzi4YwBhlm7YbUrv7nPSZH4QokPgBA5H9wyh\nUOJxpSzjG6fWO+dj5py6NAeWoTEyILedOpMO0JTkKqi4QZvNfxTUMacJ11MA4HkB5yaS6O0Kg2ZE\ndb3AUoxp/znUF8PW4S5cvb1U0x3V1B3YFdczJQut0mdR2LWxt9pPbFMttIRZ2zC7P+0487FpejGD\naJhBX1e44rfS7+X5ISNdY+fGHvR0hnF+IqkKAUALuG+3sf32dUWwa2OPZbwuPfM1QnboUY6ZbiB0\nR0XWM95Yh05dksbUwzsHbZ0vEmIw0BNt2BXODmbhTO7bEwcFkzmfPC+dS2UBkYIAc3f+8iyW7U5N\nQ9H/z96bRkeSnVdiN5bcsWYisQOFQgGofQF67+bS3JqkRiKpjUO1JNqSjqUj6UiWR7THOmdsSWOd\n8bElW6KPfsgzY8mjkbmL0xw2h6RINsludldvte9A7YXClkBizzUW/3jxIl9EvMiMREYAqO665/AU\nG0hkRmREvPd997vf/SYmJnD48GF85jOfwZ/92Z/hj//4j/H1r38d3/ve9wAAn/70p/Hrv/7reP75\n5/Gbv/mbSCaT+OAHP4i33noLzz//PH7nd34Hf/Inf4JwOIzf+73fwwsvvIDnn38eKysr+NSnPhX4\nCT7IYCcpCTpRFPGmz0TCEpItkcANwRzHZzFKbHzjZqdo1cK4zRTOC2jwawlMZBHp9hiXuFAtJnbV\ne7TNSVpVxn0XSyp3OgKbqJ40khf7puEG6knAXfBYNcSatx5mO9w22vVcCRv5suP9xpn++5MXZhGW\nybSPWu+3naAkBWnplBoOftiAiocHycyaZ/AYxHErxjRBgARgta6Bomp4+8ocUi0RtLeQ5JTe34qm\nVPUaAoDXLxKSiRe0H9+XMowjbWSrzci+0aTEnIxYw/De+/s5TTbruVbmtBmZTl2y/u3yFieesah1\nXcxj0dikhH7fwT0v2bUCrk+v4sBgGwSJJPYRxrx2YqyDjLu+seQ8xi0QwpVAvpJ4Hx0m9109k20o\n3Lz8nPcYSbrzRQXX7nmfVvX6xVkIAnCCIR96OxIQBDIxR9VV67XyKYGkrQvHhlPGoIzKdy0ak7c2\nC4qrCfh2eBSdvrZgEDPWtaQ7mTA9nOygsUSppOPyzSXs62tFq0HASjWS8Jpr2yV3QsIawxjtEs0h\nxCPuRvNnrmVQUjTu+0VCEg57JH95YA3h37g4R3xZmPggZHitURLtrM3MV6UeRT7vTQvLOdyeXcOh\noXbHelDPul+5VosmUcQz9R0f6eAmqvXi8q0sNvJlTIymCYnGFF/cjntiLA1Fta5tPPhdCHYDvYbL\ny+Tf3nQMolifJ54bqsWbpn+XxaSaM/VM58RExs9UTcNMZgM9KffitsIUdABAFAWcGElhLVfG1dtk\nHWttktEcdxJN42NpaLpuTklzw2yWePC0JvhkFQuaf1BvpXpQIYqcvo1LqwXcmF41h4V4RU8qjtWN\nEjYD8i2lRRq2qNKaCGOkvxXXp1fNya4AjUtl4v9nKN55OR+b+74bUJMoAoDPfe5z+NKXvoQvfvGL\nOHDgAH7u534OH/nIRwAAzz33HL7xjW/ghRdewCc+8QkAQFNTE/7mb/4GX/jCF/DVr34V73//+wGQ\nNra/+7u/wxe+8AX8xV/8BUKhkOtnPgTMySIAIEAERM2Vte5JxrG8XrRUQAM/PsYoUapBpHjB7GJl\nilYtUCLFazVW03S8eXkOLYmwo1rRk4xjI1/GWs5q8McqRWoqimjSVaUKZRrO2YL7YyMkYfjx2Rlm\nofX2bLQ3R7C3pwXX7q5ggzl+dmw2ACwZkm+3aXJuMKvIto22ci7Wa3VipAOCAPzg9DSmFzZwZDiF\nSKhCoLQkwkhE5UArCLVgJyn8UhRJrglk8ImvX7CQv1KwVcSKokiqOdr92l0yPW98NG2pSlPD7SN7\nk5AlkVslL5QUnJlcQF86ga525/0fj4ZwYLANd+bWscC0O9OgIeSTcaqp4KmzUu36fsyIVvqcl+sh\nigxD8ZAUMv+bBTVzboQoOj5CphnVWqcVjulukMm+OXVqLO1Qg5Z1pTLhiUnk2ISBh2pk3exSDomo\njGZmYmksIhPDObVLSgAAIABJREFU0oUNzNe5HroRRTzVGlWaeCWkVjdLuHoni9H+NrQwyUtIlpBu\ni2E2SyrR1jXCn7WNJXQVXXWQ7+PmAAf+/bQdU89MAmDMWsypNvyBfj83729A061/S/cit/3h2D5i\nvsq7foqq4a3L80i2RDDY5ZxmyhIz5ncDFcdHUlheL+I6ZwBANYKD/Xk9RToKel1WN8omMRNjxnnT\n6z3YHUdLPISzU6Rl3jwfXQ1kb2JNtR3q8Dru7YN72hGLSHjz6jwuGq3OvPWztSmCfX2tmJpewarN\nNL8enGTuRUWvDNQgxRf+cY+bSsYa5D3X7DmYohEA3Jqm8X+02svrQh81medMPrMqhdyLQTxFEf3Z\n4koBiqpXVerz1Cf0GfrGK6TNtrWZH++PVxlYQ6FqGuazOXQnE56GTtBj3ZqiSIUoiAhLTiUpvZ/G\nOQRzNdCc5H6m/uPxAre9cmIsDR3AG5fInsMOcplZyiEsued81OD+4dSzh9hx0OoJAOiaAEHQ0e7S\nBkDZ0hkfR27WPr5KFdicetbAmFzzgfageiEESbODIHHD9furWN0o4cRIh6NaQRcQOxnCjsUURREC\nBNeE1tHGwVlcKsy29fwS0RD2D7ZhaY20d014bDujmBjrgKbreOvKPHM8BlEkUZPNPCRRQNqQyntF\nZZqL9b6i18pOPDXHwxjrb0N2jQQ/djm8IAjo6Uggs5yvqxXCT1ClCEA2b7/GnofcEkhjU92Ocd+N\ngkc+BEFwqbpibrKyUHu0+2kmCFHsRJGuIhaRcWioHdOZDXMaFMXFm1mUFacCgAWtBNMkCXC2bzZ8\nn+j0PglBEkQfFEWVJHArbYKqjUy2JwGUKNpq6xkANMXI2nZzZg1LVdqEVY6iqBZ52Aho4H1ipMP8\nzujarWoq+joS6GyP4cLNLIpl8ns2YeDBLdlQVA2ZlTx6Us5AfsK4J99g7jsvoOuxvahCA9iIVFGt\njQ60IR6RyWQsD0NEzkxlXNs0e1MJbBbIfksnIwL+rRG0HfDYvpT5/LHYP9iOaFgyjtF5LkErihRV\nw9uX59HeHMGeLqunQ3WiiBzP5B1jDDazFtFhJW7HTFrtk7i74Fzbpu6tYDNfNgo0ziSROwJcU81r\nS1XW7Pm9eWkO7c0RDPXwPSuOj6TqGrNuPR5yjtfuWMeBU9DrrQkqjo+QiW+TRvuZmchZ2qL9ue9O\nT2UgCsZ6QNXhUkVh6BV02uPqRgmapnPbASkmxtLQddIWvRXouo7XL84iFpFxYLDdbAcFaPGFf9z9\n6QTSbVGcv7GEsuJ+bjxFkZ+tfubnGO85eYsoXKhi2A80xUJoTYS5HQPWZ8N9j7dMf5Ose1OtKc3k\nc6yKIgA4NNSOSEjCyjop7Dcn+HtKTyqBnlQcl25lUSjx7/XFlQJUTffUiQGwiqKtEEVlV6KW3VPr\nQU8Dx+MFc0s5iIKAznZr7jNui/nodRYgYXm9iFjYnSh+t7WevTvOcoeh6zpW1ouYz+aQKyooFBXk\nSyr61oroanEPwkn7ELlEukZaz9pcqrs0Yb98ewkDqTjyRQX5oopCSUHi3irW16xBenOL82dd6U2I\nmoZkSwRNsZAZeOi6jlxRwfJaEdn1AvYUVbRGpEoVWJQgG0bHbKLiJShlMUd9HDwueOOjadyaXcer\n52cw1tti+Z24msfM4ibyJQWFoopXzhPvH17wWxnRuImxgTbz52byQhNa0T2hNSX/1RRFnPYDiomx\nNC7fXoYguFfy3DA+msY//vgmXr84iyOD5PgrrQGGeepmAZ3txGy6Hrh5OFXriZ4YS+PavRWIooDj\nnE2jJxnH9WliZNnoCFSvKBQVs8+7rCoQISFfVKpe02q4O7+Oydl1lItlbOok6FVVwVL9pPDSepYv\nKpi8u4z2mH9L8qXbWcDjs59KrqNULGNdI1JoVQF0nTz/t2ZXENZV5IsKYh7fb2igiO5qa5tNJl8s\nu5O9mq7j7NQimmIhjA204rVZa5V8UyOfPTGWxvkbS/jK9yexl6muv3KeBAKPVKl0nRhN4z/+0yRe\nevseBIPALJTLCAsipu6S6zt1PwthmQT1fT15DCTrI11pUKVpAiRBRr5UwtT0St3rdDK5jnKhjJJA\nAitVFSB6bMVY3SD7UL6kYLNYgq6LuDOzYTk+CtOjqAFFEUDI4it3lvHl709iwLZeJJPkGZrfIGt/\noaibe16153ItV8Ll09NYs303g70F9LZXr0hvFsjo79GBNiRbolDmyXcWFkMQIEDRFHPc9XfeuIuv\nfn8SrTEZ84aB5bmpLOYWJcd1KSfJfWNPNjIreaiazlVznhjtwN9/9xpevziHpw5WH+7BYjZrBL82\n4t9UFDGtZ7Ik4vhICicvzeP0tQWImlY1PnjVeF4mOEludyoO3CbnaRkXbXzu2mYJG+VVNIWq7zPF\nkoqfnLtvGVhSKKu4ObOKI8NJxCKyxaORIiSLOLYvhTevLODcVAZ6WUW+VDmXmQI5j3M35nHfOIan\nx2uvqZmVPC5xnr+2tjWUi2XEwjKiEQlzSzls5Mv44ESfg5ihpN0cV71A7rHr0+sY6OpEl61YJNdQ\nVY6PdeDCzSW88OMbODjQilhERjQs4Y0rC8bv+Wubqb4UmJHyuooje1OG0fwM2hmVW2Ylb56f6KJO\noMWgyXsryK45vQvtuHZ32fxu54xn6MxklhAztnuMvZ/Gx9J45fwsXj4zjacOdWItT02/VdydI9/x\nhVsZZGfIWs9bK738rKxquDG9ikPDKbQkwibZGpJkQujXSUaNj3bgjcukaMeLNykmxjrwlR9ex/fe\nvItC3rr/tbWuoVQsIx4h910sLEOOhjC/nEOhSPbiuWwOmeU8njzcBVkSrQUwQXI9brq2fffNe/jK\n96fQEmWeMQF47wRREVaKRhJCsLZmzS5tcp8X3vc9ureMVNyd/FE0BaIgYnGlhGgfoAv+FhB7UnFc\nu7uCYlm1qNtNddu6gqUFsg5dn1mGtDJnOZf7RUKAzGTyOKUR5dlsdgOvX5rDhZtkmqXdK44FJTNl\nSUYRxr0lE/++U1Pks0TJPVeaGEvjWyfv4OxkBvs4qkEvZBWLeFRGa1MYt2dXceHmkrm2xSOVe8zc\nH4oKwsx1XssXIWgiTp4n687i2iZevzQHVdMxeW8V+wfb61Yg03Vz6u4ykokQyY+NHHlCNF2cXLGy\nUURO1RGXnOuVruuYXdpEmpP7dLbF0J9uwtnJDF67OAtFJ88gJe8SkQg2dH7xrVIcfndQKO+Os9xh\nfP3lm/jWyTvc3/3r33gc/Wnnw8/K4ACiKCKtZ9WJon/3wkVfjjkki2hvjiAckpBZzptVVQAIyyL+\n6vffYyFS7Iz8axdn8cXvT+Ff/VePcts9eJhdykEQgE6Prx8f7cDXX76Jv/7qOU+vT0SJCbYdlLix\nVwJZ3wyABMb0/M5MZfA3f/Ej/NGvTGCou8UhV+ZVJtxaz8i5pPGF703h8HDKU5+x9fjj6ErGcerq\nAj77kTGEQ5LZNkOvS0kt121kDbh7ONGKthvp9eWXruP4SAeaYs4Agf2+eUTRv3/xMqYXN/E/f/bR\nqr3q33vrHr752m386a8/XnVzunQ7i7/88llQDidynBz77/7lyxh8r1q3ciFfVPBv/uEUSsZoTyG+\niugR4NXz88hefQ1/8AvHLK/3Uo378ktTePncLP7k1x7DYJf79IFLt7P4/J//CJ/7zAkLqWnH9fur\n+D++dLae0wIACIkVRA8DL5+dhyCVIXcCf/3COegF5xpVC//LbzyOPpe1TYeOQlHHz/3Lb6L7qerf\nzZ25dSyvF/HBRwcgiSKjPqmYWQMk6ZC+K+B7b951vEdXMs5tzaBob46YPes3DP+T6EQJuZKEF6/e\nRmQUeOXiffxovnI//8vnx81JKl5AA++/+soFSCM6ZjbW8b++fNrz39shRDcQPQa8fWURyUQRSFRX\nUrzwyk3851dvm/8dOZaDIGr4f1+8ishBpyrE9ChyaXf2iomxNL74gyl8+7Xbrq+Ru+8gNAj83beu\nYbCzDWivXsn/D9++6trO9q8++yiGbYUDFuevL0HTdTx5pAeAs92S/vej+zvxnTfu4svfnwQAhEdW\nICWBf/in64DivMd6RpeAdue9XC2Qp4all24uYiNf5q6XPMwt5ZBui5qDBCgqASxRrdFnY3w0jZOX\n5vEn/+51T++/r78VHRz1aU8yDhiJnCxKjrbM/+dbV3DlzjL+/LefMj14eHjx5G3XmOjR/YQwU3QF\nccl5DCdGO/DmlQX8T//3Scfv5L4FhPqAF35yE9oGUaK8emkef/jp467Hous6/uqr5+ryzeMVczrb\nYqSowlMvGM9WuQw8eaTb8fuQKKNcZQ0cH03jH747iW+9egvfsv0uEZWx32UvqPiYWWO0SJiYZJ+a\nzODffvOy4+8e2V+dtBw3ikFvXprDIyPuxrXTmQ38b184Y/53aDgLuQOYXczj6HC/pbURsBZVDu1p\nRzgk4sVXb+HFV28BUhmxR4C7czncXp9FaBD49pt3oK14H2hSDU8fta0HggxZCtXdbnV0OIVwSDTU\nIO4xV2d7nBhL387iyu3slo/7kTFyrVSjlRgwBkRUWT8f3d+J7755D1/63jXH787dyOK3fuaQTVFU\nIfA0Tcf//sUzWN2oreQHiCfPn//2064xmqKrEHTJ9ITxu72tO5XA1bsrmM/mLLEVvc5feekGcuUC\nImPATy7O4Mfz1ntSbFtAZAx483IGJ7OXED0BXJvO4uLLleemv7Na6xnrZ1M5t0f2p3FqkhAu1a7V\n+Cghil6/OIt9XaOO3/M8eGphIN2Ei7ey+MuveMudKCLH8hBEHf/XF88h9jhwb3EN//Ynle/hKeMZ\nqgd0XzSfc/Y4T97Bn/7aY1X//m9euIjb8xv4P3/3aYdlx3q+jM2CgtF+/vr46IE0XnjlFv79i1cA\nuYTYBDCbIetJSzyC+c2HiiLgIVG0LTiwpx3reQXQNUTDMmIRGcvrRbx8bganr2W4RBFt4TI3d1UA\nQrqln5vF/oE2fGC8D7ooQNR1s+IUDctoa41hfcNa+Wluilp/pgOiLOHe7Bqy6wVk14tYXisgX1TR\n1R5De3MEyZYo7i6s48b9Ncxn81AiTOuZzezu4q0sNgsK3rg0j0+8Z6+n78k+RasWejsS+Jmnh7C4\nXkTRNsGhKRGGqOuIRmTEwhKiERmPHu7hvrc5Nc6mmrF7UrDqkx+fnUFZ0fDqhTkMdbeY5x0xjGHd\nfCoiIYlboW9vjuCPfmUCI0Mp6OX6NkpBEDAx2oFvv3EXl28v48Roh+kBY3o8iN5MwnnoScZx9voi\n1nMl03BvNptDUyzETWxSrVH8j78ygbG9KWgcuSwlNUnl1Rpw5woK3rg8D1XTMTW9UjUR/9HZ+9jI\nl/HW1QU899iA6+tevTALTScBXEgWMRkSIOoyigDWN1WoofoqWBdvZVEqa3jicDd6kjEsFGdwBkAs\nHMb564vIrOQtLX61PG5UTcOpa6RqdXoyU5UoeuXcDBRVw0/Oz1Ylik5dIwHIz39gBImItSbDe/Yj\n0RAy2U3MFadxDkBvsgmCrGIBwDPHupCOdCIakdHeFsdGjbXk/sImfnB6GqcnM1yiiAZOK+tllBUN\n+bwGRXa/56mkmSZYbKWTmJGT/26Jh/G5z5zARklzrHdPHO2t2b//3/z0IdxdzJl/+/Xs99ESieGR\np/fh+5mzePRAB/aP78fSagHfOnkHp65l6iOKjPNWykBElBCKSfjwU3sQDUuIRWS0tnhbpyOxEBaX\nNpEpZnAKQEQOIbtagpyoHmRfvrMMURTwzJFuxCIy3hJE6LqIosY3bVzZKKIpFkJIrlXTq45kSxSf\n+8w4cmWNey6ZpU1cKy7iNoD2RAx3ZzcQ4RAuFMWSiou3suhJJfCRx/rNny9k8/jOm3dxanKhKlFE\nW2bM+8nWnkPvr+HeFvz+zx+DKghY3yjgJ+vXMFsGfulDY0g2t1rO5eWzM7iXnUG43dkyZ5LqLoH8\n+FgaN2bWcO76Ip7xEGjTQQIjfc7JQFZTcNk8t+MjHfjARB90QYCg60SpUCU+eM/4AMBpI+9JJSCI\nRmzCFoh0FblCGZdvZ6FqOs5eX8T7T/S5nsPb18hks3/+gRGAeSzTyQT295Frx1MUAUQZ+Ox4H8CJ\ndW5jA6dXb+K5J/rQGRrAS6fu4/KtJaxullwLMMSYOYeDQ0k8dsC6H8ViYSxmN5EvUuWSgs5UAgf2\nONfekCwi3RblG+ca10XXRZOgZMFeKx5aE2RtW86VkVnatKionjnR76oUrvi5OY3Hf/m5MTx1vA9r\n61aipb+7hatcYDEx2oEv/WAKr1+crUoUnTb2tZ9+z14km8J4bf067peBf/6BUTz32AFAtT7j7PTG\ncEjCL39kDNdn1iFChxQu4ySAgXQLBoYH8MbyNbx/ohsDYZI8O9bKOn4WlkV8/OkhrCznzOe3sr/U\npziORWT80S8/gv7eVsBlOh/Fb3/qCKazecfxxGNhZJj7rlBUIEoSBOiIhWXEIuR+H+xtxYH+Fui6\nbqjIrep3Xde5+96+vlb83s8fhSaIls/+zut3cfraAgofHbMkw7JeuS43Zgwbh7E0jg0nLe9r/25v\n3F/FqxfmcPb6Ij4wzl8PFE2BpgoQDScUv9vbTGsJG1FEn41cXsPIUBL3ADxyIIUD4/st5zJdEnFy\nA3j8QA8OtB/BF+//GEO9TXhqjLxub3971WK4wtxPLJ441IVoRMbf3vteVdXaUA+Z9vjmpXl85gP7\nIInWZ71eRREAfPaj+3FzfqNyjxUV5EsKJOMeo/tDLCIjlUyYMd+LKz+BCBm/8Qsn8Hd3v4fOZAQf\n/Bj5HkKSiI+/dxhrK/X57bU1RfDJ9+zFymaZ3N+Ggu7s9UXcnFnD7NKmK+G6slHEpFHYO39jCU8e\ntpLwtabBffSxQQz1tSG7kkNOW8e3VoC93W1434FDmEmsY+pWLaKosdjoQcFDomgbcHgoiWcf24NM\npuIyny8qeO3iLM5MLXKJFHZcMAAoCiCENdeFX5ZE/OpH9yOdbrZ8DgBff/aDU9O4cX8Ns9lNtHXT\nioPMeBSRn9HF6/RkxhNRtLpRxEa+jH1VAnw7BEHAz75vuKHzA0gfc0s85PDhsXtSED8bxRiPSypA\nZ6YyeP7Do+bCERZDEDlyZU3TMZfNoScVd5V07+sjVVzeMdbC+Fga337jLk5PZXB0Xzt06IZHESFy\nBEF3eCN5RU8qjrPXyTVtjodRVlRkVvLcRIVipK8VqVb+uVTzcjh/s2JeeXpy0TURn13atNxjbkSR\nomo4d30J6fYY/uAXj0EQBPwPL/8jWiJxpHqaMZNXIcruARUP1LTvl57bj5aIhKllDWfOACO97Th9\nnZjGPvf4oPn6Wua816dXsVlQjPdexKfeO8x9XVnRzEkldES0PWgASIX8zOQiImEJz3/0AFZtG3e1\nZ+NqVsG5s8ATB3qAsIYXr13Ghx7txZ6WgZp/S5ErlPGjs/dxZmoRP/MMZ20zno2NTfJvLq9BSLgH\nh2emFhGWRYzv78T6at5iMh8yvD3o9ds/2F7Xs295TVsMh0Y7zdd97SUV7U1xPHmoD9//MTDYncCz\ne/ugqBp+dIac3y99eNTzfaMwa3pbIgZdB37+6X1Vj7Haz+6syTj1NtDZmsDdHFH/VAs455bI+vNr\nP3UQAHD2FSAmx1AMUSNs6yCE5fUiOlrra69zw8E91a/Lizcncfs28PThXrz42j0A7lXWi7eI59R7\nx/vwLENGlMoqfnj2Ps5OLeIXnx3h/m2prOLizSy6knEMdDVjcXGjQjwy9xPFidEO8xgvng1hNgs8\ne2wAvd1J67nowD+8OQXAmejUClYnxtL42o9u4PRkxhNR5OYPRz6bSe4YdVRIFvGrz9URH3QkuM9L\nd8qqKGJNbs/fWDLX7jNT7kTR7NIm5rM5PHW0hxA+LsfCM7Mm5yLhsy6xzquLd3H6PHB4uB2HU30o\nlVR86aXrOHd9Ee873ss9Hrqef+ypIRy1EUD1riU9qYRZVGEpJ/pstcWjGOlvw9KS1Y9DlmQoVfxi\nAFJwrPd4rCPArb4+bU0RfHRvx5bWSjpm/dzUImlJdilgnplahCQK+JWPHURuo4Cr50O4vwi871g/\nOpNxx+fYTZPfe6wXP/chcjzLhRWcfA3oSzXj+EAX3ngb2D/Ygse7+1yPu57vixLirAKEeODVr3DZ\n092MdIr/DLHoSsZxZH9Xw/G5YssXqF0CmRzIT2bHR9OO98yuFfHia7dx6VbWMs1V1ivfDVVyfuK9\nwxhKWxN4+/sd2ZvEqxfmcGYq40oUFZUyNFXA/sEO3IL/iiK3eJN+jq6JeOZoP750A9hj7PHsubw1\nt4CTl4EDA0k8d2gvvvifgGRLGM8ec7/vrJ9DDKBFwRqrCQKZbizfr04S02mPPzxzH9enVx0xsZsH\nTzV0tMVwkIl1KGrdd99+RUciFMXHnhrCP9yXEY+Jlj2Ybe2rB598z17HZ7c3R3BzZg1nphZdiaKz\nzDS4M1OLDqKo4uXH33sjYQkfemwQmcw6FvNL+NZJoDfZjKcOdeOb9/hDPgCg/HDq2UNsB2IRGUf3\ndeDO/DqWVp193uwiXVZUqIoACGTh30mY6pulnIVVZY0SdV03g+O7CxvIeJAGU8f7rbRH+YHuVAKL\nKwWLuR87WhYgm7CiqbhwcwmKqkOWBGTXirg9t+4MLjg+FWVFC+z86HSNs1OLKKlMbzldyIStf3Z3\nyqq4mlnchK7XV8Fg0dEahSzxJfp0+ogsCTg9yTcsJa/LmK+bml5xTKyjuHp3GfmigieP9JgJvaIT\nk9SJsTRp6YR3E2BF1XD++hJSLREMG0QZvdb9HS3E5NM2oaLa6FX2nFsSYdyr8rxcuZNFoaRClgRs\n5MuYuscfET2zuImFlTyO7k0iXOfGzVYRQzUILjfEoyEc3deB23PrXA8L1qtHlgQoKqBB465tc9kc\nZhY3cXhvEtGw9Xho64sO3fd1UdVUk2y1J1iyJOKRg11YWivgXh0GjJsFQuaM9iUR3kJLgx30e2iO\nRQAXVRAFVaFQc3qA7DEhScbBPSSlXc1VrlWuUEahpKKtubG2M6+g5zI2kGQqy/zvhyb2T9iCwnBI\nwvhYuuro7st3llEsq5gYrZj/qpa1O+T6nLKmpnYcH+lwHac7m81BEgV0tPG9k7qTcQx0NeHSrayl\nxdsNZgszh/g3W42MdhG/jeibYiEk4uQ87Ubop6cq69jl28uu5qt2haAbiKKovkDcTjScqDFaHiAJ\nhigIeOxQV12fxUO3S1K6ahC5x/alue3UrDLST/BGe/s1VGF8LA1F1XDhJn/M+tJqAXfm13FgTzsS\nMWvS5XZdK9Mbeb4g1hiL/ZmfsA90eCCGUNhtErZoPs1OFVSZa8U+V2cmM4iEJBz34KXZ0RrDcG8r\nrtwmcRgP+VIZui7ikTHa+uczUZSkVgf8QnA0JGO0nyijuFPPzDyAnX5cx3RR3WnKz4Il9N1ApyTa\npz1W8+AJAgozYCkkVCe4GsVxY/BQtWmdZ5jY+fzNJZQVaxxYUVvVzn3sKqFqgxrYNeLdgIdE0Q7i\nSaN6yLKiFGx/8PJaEdDrS2iDAsvOs0SKGYToKpbXiyiWVbPNy8sIe+p4X+/4dr/Qk4pDBzCfrSTp\nbDUOMAwnddUMOn/hg2MASBBqHe/sDPruG+fnZaLbViAKAp440kMIhPtZ87jZ1rOtK4qsG615rero\niWYhiSK62uOYy25aiKCyQki4zvYYnj7aWzURPz1JgvuffXYEuu4+qpduJE8xcn/ayz8xlq4kdx6J\nhsl7K8gVFZwYTVuIJwBoikZwYE8SU9OrWNusEFdm8Mt5dnVdx5mpDKJhCZ/5CJHwup2L475zmTrD\njv6uFwrnmd5KMECTQO7aZnyGronkXKqQHObIVSYorbQKsYGbv+uixQSWM0mJto94WdsoMmvk+Tmy\nt8Mwr23smGkS2BKPmsbjbteKBkz9nZWWEkVTIAkSJkZJgpxZrQTSlOBzm7LpN+j33RyLYMQI2nNF\nJ/mrahrOXV80PKWc7T/0urivB84RvvaCh+vAAp1fGQZI9bO/g5BwuVLluEkgn0NXMs5V/7HHXVI0\nXLpV26ukmj+caktyg0ikU62EPBQgms9GUVHI2t0Ww8efGoKiarh4k38uZw1i5tGD7kRRpZWmPqKb\njUMA4hs01NPiSlytbBRxc2YNYwOtZlt1I+hxaWNf2SRxxSOj/HMOiaFAJkpxR3v79DmUVHBbA+na\nz5qiqzZCw47K9XNPztjpU8GMa7eRrQEmw35BZcgMoKKCr9d/cai7GanWKM7fWESZUwhe3shjfjmP\nI8Pei1BPHumGqumuhGJRKQOagMeM9cBvYq69JYJwSHT4bK4ZhZGxviSiIffJtGYrorA1slXVVISq\nEN5eCP0Dg+2IR2XHtMe1zRI2C0pgeYUdiqYgJJLvKihym6IpFsLhvSncnFnDqjGBlUW+qODKnSz6\n0034wCMDKJZUXL27bHkNXYe95D52lVCIM9mNQjEUou8WM+uHRNEOglZEedUutnqytFpgjN52lihq\na44gGpYwu5SzBCGmR5GmmROyPvTYIARUr+ZRUPJhqyqVRkEXWna6l92jiCiKiMQ+1RLFz39gBCFZ\nxOnJjEk+CIIAWQo5CL3pBSKpDJIIM5PzG8Sfhm0NiEQExKNbW9ToIkuTTXoujVyr7lQc+aKKFcYQ\n8dLtZRRLKiZG0yaJyrt3lteLuDW7hv2Dbfiw0eLFe52m6zg9lUFTLIRDe0nyqeu6OR2kJ5UwAwRe\nUsqDScIwwS8bWD51tAc6rARJNUXR/cwmFlcLOLYvhWeM1ogzHAJI03ScmVpESzyEX/zQKGIRGWdc\nFFdnpjIQBTJiul5Y2rqMtsWtJBaPHzaIFM51KSlkkw3LMn7hQ6Nm4l3mfD+nJzMQBDKSmcLqu1Fd\nrbVVWJR3dFf/AAAgAElEQVRV9HtgPuORA52QRIF7rdyQNbxAjg93QpZkc7rOVkEDm7Z4zCTb3K4V\nDZhYooh6WoyPkXVjca2y9lGVa70TTLYKlpSfMI5nftmpCpq6R9o0TxjVRjsePdgFQeAnr5rhndOS\nCFs8jCrqXdquxb8uZECAe3J0aIisCTNLFfn8ynoR+WLtQN4kHj3slVVbz5g9OWS0SvuNpEEUFYu6\n+Wzcy6yhWFIxPtbBkKjOc2GJmZYqQxvMxLfK982DXVEEkDjLjbii63S9k0bdYC+qAGTPWc8XAB04\nMMBvpQ4FREhYi3nuI8C3goHOJnQm4zh/YxGK6iy00Ot/giX5dRUCBC7ZCtRKzgyjdkE2k9UgCqcW\nbx4Pao/dALtNwlYVRYIg4InD3dgsKCaRwppZTy+SCaDjnImIbniiCnm/WSgTPyophK62ZuOY/X0O\nREFAdzKOuWwOGhMvLRiFkcNDae66QVExhJcgCqIxGdP796poCleFSuFFtSZLIh492IXFVWvxdDvz\nJho7U7JMDqgQweKJI92OeJri0q0sFFXHxFiHmfvY98/ZpU20xPleqnY4PWlr3xNynYrXBxUPiaId\nRKo1hr09zZi8t4LNgtUfQmUUKtm1AnRadd9hRZEoCOjrbML8cqX1TLKZWVPm/shwCvv6W6u2BlFU\nyIedaz0DrAGe06NIQklVUCipmBhLIxqRcWRvErNLOeTLJavptW1xqahwglvQj410IBqWcOEWWSwl\nQYZmtFYlYlt/1O0eTn5sTqbBIPN900V+YiyNRw50QpZELgFEA9CJsTR6O5rQl07g8u2sQ9p8a2aN\nmC6OdEAyZLm0RYku8B2t5Dgu36mtDKHqn3hEthhJq0xgSZMk9rirBb+nzWC6A8mWKIZ7WzB5bxUb\neet6cP3+KtZzZZwYTSMcknB8XwpLa0XcnbcqrgiJto79g21IRL1NUGLBVnwbURSl22PY092Mq3dX\nkCtY//76zAoAoKM5jkhIQmuctORM23rjVzaKuHl/DWP9bZZqP0tm0c2c16rQCLjKKmbtjUdDOLin\nHXfnN7C4Wru1dm2zhI0CnSIWM/zOGlQUGd9DUyxSGX3tqigizxltPTOnagoSWhLE22CjUDInnVGi\niGe8HwTYIG3CJK6cRFFFLcdPVFqbIhjtb8ON+6tY3bTuOfQZGh/tsPjEKZaKsXvwq+qqWbHn4cgw\nSYhZosirUnakvw1tTWHTe6wa5pZyaHYJfh3G3AEE8u0t5HPzhcpU1rsLpA12fDSNff2taG+O4PyN\nJQeBcPb6InRYyQMe7K00XsGr+FdT/1HFaT2JbzXwWs/uzm9A0VQIkFyN4YOqzrMJjSRUb+msF4Ig\n4Mkj3cgXVVy9Y63k5wplXLu7gqHuZgvZrGoVw2UeZNFJylOwCXsje1Mt2NWkfhMXQcBZ1Nw6KUiJ\nnZVNsgewscBMdsMoQnl/Xvb2tiDVEsU5znpw7voiIGiIR8Jc5a5f6EklUFI0Syv8klG4ObwnxbQZ\n8VrPDIJSlCEIAiSjs8ArFL36Pe+VJH6KUzzdjgI0hVlQMTssQg5fQ79BxRS8tfs0ozY/OJREUyyE\nM9cXTTKwVFaxuFIwc7taMP38zPOrRhRZn7d3Oh4SRTuME6NpqJpumtRSsIHS0mrebD3bDTLYvnQT\nyoqGVbqRCNYWkEpS0oSJ0XTV1iCK6YUN1yla24HeVMV7icLpUVRJ7iaMRGXCaGHYKBQrkkXOwn8/\nswEBxLwwKIRkCcf2pUzlQkiUsLxKFvJ4tLFHnfVwml7YgCyJDRndmn3jhtKBVvtbE2EM97UgHg3h\n0FA7pjObWFi2SobpRkmD+4nRNBRVx0Vb28ZphniiUGzXtLONKCzO36xdyb87v4HsWhHHRlKWfvAy\nE1j2dCTQbyOuKkSD89mlZp/HhjvMc9J0HedvWJ8X+7nQf0/ZiLRKhXxriY+lmlplo/SC8dEOruT8\n4m1yjF3t5B5INpNngirhKGhSaW+hY1uFQg0eoxvshtm8z6DHVWttA4zrIlYmWYZEGaquNuStRO/l\nkCQj2USeRZ4qC6gkrn2GoojnRSWImnn/0IC6bZtaz1hSvqudHONqrmgpoFCiNhaRcKDKtLmJ0Q7o\nMJIQBpV1w3k/UZVDNfNahRk/zUNviqiUMqs50+vOq/pSFIlh6WZBcfUeA0jwm1nNuyqUFGNSmCiI\nvqjWeGhrIffLZk4z14h7i2toioUw0tcKQRAwPtphnMuK5W/PchSZPNhbabyC115VIa6syhfaujDQ\n2YSONn9M25tiITTHQ5Y44sxUBhC0qqSXHJjXWiWhEQQBstB4yysLszBiWwOpsblj7daV6t9DFQLI\nz72pGtgkMCSGHkhFUSOky9F9HYhFJKzlnYqi5Y08xgZa64rT6XqQLyq4ZlsPzkySfbElFq1Z7GgE\nPUlrfJ9dKyBXJEWRpliEIZidn83agAAwnqE6PIpqKFG9EvoT+zshS4KFNKGFiN5tKLDbR8IHVYhg\n0Z1KoD/dhMs2jyvqFZpsiWCwqwmSJOL4SAqrGyXcniV77sziJnRUcrtasJM/7ERP3mvpPvtuwLvj\nLHcxJlz6vNl+7Oza7mk9AypV6ewGISQkUTIXQk1TK0lJuskkVKq1n5UVDfNLm54f6CCQbI0iJIuW\nSmCZSRYBslHogoamuIxRwx/j+AipTudLZfN1JNlwtp6lWqNbngrgFeOjaUtCmsmSzT7aIFHUa3g4\nzWXzuL+wju5kjNv64RX2yuvU9Iqj2j9hGpFWno1No1K5t6cZyZao7XWVe0zXdZw2TBcPDVWSSlY9\nABB1BwBculO7ks/zy7G8p7GxTIwR4ooSJJUqqfWeyK4VcGduHQcG28y2QPreZ5hzpucSDUs4uIec\ny5HhJGRJdLR3UFXWiS0SRWXdSSBsVcU4Qc9lynpdrt4j55ZqIfdAh/EvVcJRuFX77a1C5BiDIYpC\nosQEsNbv4cRIdY8OFqcnM5VpUYJkqswaSdrYVoxUCwkU13JO83CABMgt8ZCpzOIZw0LQzPtnyVBJ\nbZdHkV0JQ4+HJXumjTbNo8OpqsadPANjSjJFmGfI/GxDTi8IAkKSbA5ksEOt1ULAjPa+fJsoLCrq\ny9qBvGlYWqWdcZYOEujgv5+iK5ZANwgj3pYmsp5t5FTznAvlsqUdkBIE7LNBp4X2p5uQrkHM2BNf\nr+ApiizE1XSFhLtotC74pSai6EnGkVnNo2QYk5+ezEAQdYRl9+Q6KOKDHYoCkOfLz884RCv5UxlL\nW89pF0JQNYhMN1RTdqiMosFU6Qbk60STwJBECH23oRq7BaxvH/nXvThVCyFZxNHhFMoq8WQTBMG8\nfwRR25L3oelnxazJpbKKC7cWIQg64uGw6f8WRI5jjzfPTC3ypzdWMbNmnyGe36QbiAF0DTNrD9eJ\nFE+TloEn9+a3UVHkIIr8H5bAw/hoBxTV6t9HvULHRypeoeO2eLOitvKqKLKeX7UiJGvq/W7AQ6Jo\nh9HbkUBnWwwXbI7tKiMZZj2K/E6ItgLqc7FsGDRaPIp0FXPZHFItEUQjMjrb44bCwn3qwcJyDpru\n/YEOArSPeTa7Cc0Y8Ws3XiyVyc+PjyTNgLgpFsLYQCvKmgIBlWkw7OKSKyjIrhUDbTujODqcgiSR\n45RECQsGURQJb53UASrX5srtLPJFteFrVZmeR9RnlAxig5ATox1kihiTOJ27vkgqlQxZM9jVhFRL\n1FIxnlnKcU0XWfk6ULm2+VIZk3et1S47zkwtQpYEHDH8jijYqUmAk7gKuVTKeKbTPak4upJxXLyV\nNRONewsbpo8RNYiPhknb4/3MJuYNxVWuUMaVO8sY7GrastqLrZ41mrz0pRPoaI3i/I3K2nZ7bh1r\nxgSgsOFvEpHJ58xkKwEQORdS7bcnlZVRwBWzdr+Dy8p94j7ppL05gr09Lbh219k6zCJXKOPy7Swi\nYQGS4WMmVQlM6z9GCelW8jwubzjb4MoKUaGwz6zFGNY4lmhUwJU7ZJ3ebo8iSxJIg2pRs5DEbkSt\nHZ1tMXPPoQbG9zObyKwUcGy48gxRkOpgpUrqpuxQ9OqKIpkl3Ixn2wzkPaz9BwbbEYtIODO56JqY\nTtcYisAap/qhWuMhZhQd1jYVyzmz7YD7B9qIjxpjvsp6StSCPWj3CrdntULAV/YSr/dTvehOJaDr\nhNRbWM5hOrOJcLi68WlQU7wcY9M5RaxGwFbyb80S/xpzKEVbDH02QrNWG041zzmr6XyAiiIL2bo1\nr5/tBtsux/671ftpYiwNQdQg6JWYFgAgbI1YHR1oQyIq48xUZW27fHsZJcWm4hCkQHIcu3cYUfkZ\ncTITR/DNrFXzdeYx1qMoqmHKX4/Xj91AfnphAy2J8JZsBupFpXhGvweS5wRNok6MOQuOvBb0w3uT\nCMsis/fWZ5HBFiCB6pYRZcbU+92Ah0TRDkMQBIyPdaBYUnGF6fNmk4DsWgHQBMvPdxKUKKLjlNkq\ncElVsLxetCQlE8YYVXtrEEVlhOHOKYro55fKmpkkKTb5+0aOLJTHR6xEwcRYGoKgQVHINZIlayXX\ndN7fhvOLR2UM9ZDvvlwC5heNpLxBooheG1opbHTKQiwio705gtlszlTMxCLWan9LPEz8RqYrfiM0\ncWTbyQRBwMRYGvli5RnitZ0BrPeXtQ8Zgu4YPcpibmkT9xY2cHBPErGINdCtjMokz8BAZ5OFILFP\n4qEwzT5HKpsdrX4Xyyou1ziXcZta79SVBQeJVi+sJs6NJS/0uhRKKq7dZc6FUdYAzKhkRtFy6uqC\na7WfPlshozUA8N8Ak72m1SpLZqvgdf5EF4BcF0XVEYtWpkT50TLHXqtO2q616VQUzS/niQqFWX/Y\nQoQokkpuIiaZrYLZ1QIkUUBTfHuCIav/iGHAHxZw8eaSOTL+zCRp0zw6XNuk/cRo2mJgbPoZcEgK\n4ptCE0N3A3dVq+5RZF7bMGk11HQd05kNtDWFHWsG9+8lEcf2dVSd9lirSsoap1YUTv4SRZrx3ayt\nV1oqJFnHoaHKvihLoumjRs/ldB3EDOvRWA/cDJv3D1LiiiSqtHUhZbQu+An6nE0vbJhJixyqro4y\nVYs+r2OqLfnxu/UMYJSjxv55bmoRxZJqFHqscUdNRVE1M2vmXEIu19kPKJriyadkN8FeAKsUbrd2\n3EeHU4CgQ1ONvMN4m6a4tKUiFFnbUlheL+KOQZ6fnspY1O/03yBynK72GASQXGMjT1Tp0agRr9dU\nFFnjO6nOY2QLETxQQt8L4XJipAMCCOFdKqtYWM5t28SzsoviJmjf3MGuJiRbIjh3nXhcuXmFku6B\nJGYWNzGfzVXavj1+P+x0O8C96ADUVom90/CQKNoFsEvmAGuFYGm1gJC8PQ+lF/SmmyAAWM9VPIok\nRpkBWB9OXmsQC+pTs9NEEa360gWGXTh0XcfqOvnvkYFmy99NjJF2r2KpsukpzMI/l3UfZxwERgYM\nr4zlImYz5LsVpMaSBXo9p6aJ6saPa9WdjCO7VsTlW1ksrRVwbF+Ho6VkYiwNHeTZKJQUXLy5hO5k\nHL22SqW9xfH0ZAaSKOC4bfKX3SSV/huLCjg9xZ8iBgBvXpoDwPfWsE9AYAmSK3eWuaQADVb2dFda\n6CjoZ5ydoudClEz2BPnEiKG4Ms759UuzrsfoFQqz7lTbKL3CXgE7PZmBsZRVRvlSWbugVc7lIjkX\nOzkGVNrjiNonGEURS6RUmxZUOT/3dqGTxrlEIgJjBMknD+s6RuZadVOiKO8kiqgvA7sms6OPAZKQ\nRyOCcS6LWFrNo60pYjF9DhLsudC9pCkumSPjM8t53Jlfx4E97Z6mN9rvO0oyUS8wFmzQV9UjxUNl\nGADaW8JY2yzhyp1lZJbzda379Ljd9spagwTKzLlIASW5dD1QFODWfXI8HW1hR1v1CeZc7J4SNT+j\nQTNre8JHE1VKwl26sYRcUcEJpnXBL9DrPb2wjjOTGQgARFH3pKTx32vN6q8i+awoAoBDZiWf3LNv\nVNsra3oUVU/OAKvaNQgPLkII23xKdkGBthqciqLGijyxiIxIWICmClhaLeDKLRL3USP7rYBtq1c1\nHWenFtGcqBCYgNEaGcA1DYckpFqjmM3m8PaVeaiajkRMMr3p6vYo8vgMmUMjPN3ztd+ztSmCfX2t\nmJxewY37q44CUJDgtZ4B7r6IfkEQBJwY6UCuSDzvbt5fJV6h+5wt6Oy+P72wgZAsItka5b2tA2w7\nPvuvG2ldb1v0g4yHRNEuwEgfMYc7O7Votj2xD2V2LY+obPWW2ElEjEV3LU/UKjIzNrJQNogiZvGq\nKCwWLe11FLT9aCdbzwA2wCPBL2t8fGduHcUSuTZ2/7JkSxSCqKNYJB469j77WU6iFiSGekkgPrdU\nwOwCaUVpNNChHk6UR/GD9KIGfP/4wykAfFJggkk2zlzLoKRo3NeN9rcZXgmLmM/miPfPnnbEbZJc\nh0G58e9IfwuW14u4PWedvEVBg1+e9w9vAgIrl+UlAaeMYGWC8377elvREifrwcziBqYzGzg05FQy\nNcfDGOtvw437a1haLeDUlXmkWqIY6Nx6hdxvw9CRfmNtu76Ie/PrmF3KYbA7YXyGNRjv64pjanoV\n2bUC3q5yLpYR4AEZYHo1zO7tSKCzPYYLTKsgi7Ki4e0r8+hojUIQKwFjqMp0n/qPUUZXkpDX6xyi\naJazvvKCPlHSzXV6eb2Itmb38eV+g32GBIG06MVi5Ls6M5nBmwYJynteeKDTls7fWMTc0mZVkokN\n+qpda9UwsHQDvbZtTeQ9vvP6HQD1BfLEf0lwVTdOL6wjJItItfCDX5Uhs4Izejfuc13ED9++DwDo\naHO2KB4dTkESBZydWsSlm0sOT4lqsK/TXuGN1F2skOoe2uDqBb3eF28uYer+Kvb1txoT8zx48wRF\neFsURf7eD5GQhMPG9NeZxU28eWmWGJv3tzpeq9RQFFVNzmxj69mf+QmWbA1VIa52E3hGw0BjcV8o\nDOi6iLPXF3HuGlHMtjVAFB3eS30VF3H1dhYb+TIOD7daj1sIbuR6TyqBtc0SfvDWXQCwKHxrkQLk\nNZWY0ev3an/+eKj3Xh4f64CuA9958x6A7cub7Mqq7VTbsZ53JhHNyQOOj1aKp/czG+hOxj0XuxSb\nirUaefhQUfQQ2w5RJIzp6mYJk/dIiwYNlDRNQL6oIhYKGT/fHRtWdyqOokJIIdZAr1hWjN9XFi/S\nTkNagy5cdwbAs0s5hGQRHS7B73ahIhmniqJKQnrywmxVnyhB1KBrAs5fX6oY7BoLDK3ob0frGUDU\nMQCwuFyCIfBquIpIPZwoupKNT4mh38dbl+chS6LD+wcAOtpiGOxswpXby/jhKbIx8ogiURRwYrQD\na5sl/P23Lru+zjkdhFyrUUOFxavkb+TLuHhzCcO9LdwpUDw/jZG+VjTHCXElcvwCqGKG14YhigKO\nj3RgLVfG33/riuu5sD//0ktT2CwoGOfI/euBhSDxwXBZEkkLyvJ6Ef/fd64CAPYaRKZZ5Tb+HR1o\ngQ7gyy9dR66gGC2dznNRjSlVbJuS3xVftrpEW7N4z5DZKlhScZ6ztlHPn4mxNJmaRQNiHxId9r5L\nhAmps1EoOl7HU2yqtuCXjoE+MdqBfFGFqunbZmRNj4eamQJGC5qsmyPjXz1PnpdaY9UpBIGsB5sF\nBX/7zUsA3J8hi6KoRuuLl8pwIi4hHBJxyTC0rodUj0VkHBpKYjqzYRZQKHRdx/TCBrra466DBMiE\nHf9UazzQfU3XRFy7Tcyh6SQ0FrGIjIND7bi7sIFvvnITAHDCIzFjV2l6RahKCxclrk5PZvD6xTlH\n64JfSLWQosrZyQx0nbRmqXoNQ9uAxr0722akQPx26LP19ZdvIrtWxPGRFCTRmV6oNUxgqxH/rGdk\nkK1nLNlabT3YTbATq6aiqIFrLUk6oIt46+oCzk0SoqgRr0uytrVjOrOBb7x8AwBwaC95/qpNDPYL\ndP87O5lBui0KUaqo/KQqa6XDo6gOE2f788dDvfcybfWkw1K2XVFk21+2gyhiPe9evzjL9QoFiF3F\nSF8rrt9fRbGk1vXd2BVFVdtgHxJFD7EToJWtNy4StpTenCVDxRKL7B5FEWCMNzfM4FgDvZLiVBQB\nldYg2oZBoes6ZrM59KWbGpqi5Qe6khVvAYDZIEQZr1+YNY397NdA0zXoIJvq6cmMox1mLptDPCqj\nNbE9FXr6ubouACD/82Mxp9e0oy2GaLjxRZK9Rw4Ntbv6eEyMpaFqOk5emEVbUxhDPc2urwOAl8+S\nKjfr/UOh6vzK22B3AmFZ5BJF528QpZ9bS5c96QYq5O/aZgl3Z6lCjXx2WdFw6uoC0m1R9KX5SSSt\nlrx6fgYCyHQ9/uvIz09dy1j+bqtgPS38CgRocv/q+RmIgoABh6KI/LuvjxBIb11dAABX01vF4ikT\nTMXXXl2SBPdpQZTse922tgFWfymuSWojU89ocsC0YpRUBTmbsfbsIiHiU4wE2xH0CcRXbYIhYtq2\nyciaHI9Vyk29VMbHyMj4CzcWTZWQV9BzOXnBIJlcniGF02piv5/MFoIqxAVNKjVoOLK30iZab4GA\nrjOvG7EAxfJ6EYUawa9iURQ1rlrjfgajKKLFEw4nAKDybLxxaQ6xiIz9HomZrSuK3J+rWETGwT3t\nZDjASh7HRqpPz9sqRFFAV3vlGp0YTRn3d20za/9JPU7bTAAxJJ3+aq53LoSuoqtV/VqqKWHYiZxB\nJqlWsvXB8ihiW7gAvhrCK3RoCEsymTCVJ50Ajd6fdG07eWEW0bCEPUYswCq8g2rzY9fN8dG0xS+L\nqlj5pICtqFLHM+SF8K60y3q7Vl3JuMUkfrs6FRxm1gGpIHlgPe9uzaxxvUIp2OJrPQOEXKeeca4L\nMbN+SBQ9xDbj0BDp86bJBl2Qi0VCxsSNivFu8CgCSPArGEZ05iIvSChpKmIRyUGKjPa3oTkewhsX\nZy1jVFc2SiiWVPQ10C7jFyIhCamWKNN6RhaIjZyCmzOr5ih1e9BAF8qwFMKFW0uQUFn4VU3D/HIO\n/Z1NvnshuME8Ps2ozvsUHNJFt9+na9VjMzx3A/u78bG0q5T08FA7ImGDdOht4SaVbgGVIGqmfJ4q\nyigqY9rdFQnkPa0bBz3us4Zsm16Dq3eJymR81L0N49CedoRD5PqN9Le6kowdrTHs6SLEGZ3A1wgq\n58IaRTd27xzZmzQnTY0NtCJEPYqM74sGa80JGf0GcdYcD3NbF8jxcFoDAlQU0X/dkgWqHnvz0pxl\nbdM0HWenMmhtIlUulUkW/Whp4LViQNDMVlcA0HQds9lNhwSb59WlaApGB1qRMNqztmviGQCjNafy\n/Egi8YGwP/v1gBgYk/MbdlkPyGc77yf7elkpGtRWFKmaaiGV6w3kqWGpnXj04uVnmeAWkBrCvGc1\nEbqxx7jdxyw5d5zjKeH6GTZjUa+oNjULsN5Dfk87Y0GvUV86gXRbFDr06mo0KSBSz9E2479HEWDd\ne8IhCYc41X4vfi30+eN5D7EKb7/2Jh7Y0ddBtW/6jQqxalXINDpVM2bkHdD9GaZD1zYAOLYvBYhk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VZY8+0PUnywxtL1VXzGtH3FMSKNxElinjDBRytCttEzPBgJ2/Z/x90Qus6ycXhS+DNo0gW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F87h9ad+qxTdNgWX7UFhVEJrF5Q3EeJ1jSzLWALJFLQYRRZnk65mmS+2E7ekXocBxGMU2ZZGdmer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\nSUVORK5CYII=\n","text/plain":["<matplotlib.figure.Figure at 0x7f78e39e35f8>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"Whlr79TXDle6","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"788c3698-709e-4fd0-dd68-69f0d39102d1","executionInfo":{"status":"ok","timestamp":1546323907847,"user_tz":-480,"elapsed":697,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["#验证模型效果：降维之前\n","LR_ = LR(solver=\"liblinear\",C=8.025000000000002,random_state=420)\n","cross_val_score(LR_,data.data,data.target,cv=10).mean()"],"execution_count":26,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9473911070780398"]},"metadata":{"tags":[]},"execution_count":26}]},{"metadata":{"id":"uDP_M0hkDmcl","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"1f83c381-b0a7-42fd-c2ec-4b6821a41645","executionInfo":{"status":"ok","timestamp":1546323915145,"user_tz":-480,"elapsed":582,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["#验证模型效果：降维之后\n","LR_ = LR(solver=\"liblinear\",C=8.025000000000002,random_state=420)\n","X_embedded = SelectFromModel(LR_,norm_order=1).fit_transform(data.data,data.target)\n","cross_val_score(LR_,X_embedded,data.target,cv=10).mean()"],"execution_count":27,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9563164376458386"]},"metadata":{"tags":[]},"execution_count":27}]},{"metadata":{"id":"3v6Tq3cMDpVQ","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"285f8cb7-dc95-46a2-e33b-8d9434a846a1","executionInfo":{"status":"ok","timestamp":1546323918898,"user_tz":-480,"elapsed":721,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["X_embedded.shape"],"execution_count":28,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(569, 9)"]},"metadata":{"tags":[]},"execution_count":28}]},{"metadata":{"id":"skbSG5jFFvqS","colab_type":"text"},"cell_type":"markdown","source":["# 梯度下降：重要参数max_iter"]},{"metadata":{"id":"9SEIudVCEAFs","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":139},"outputId":"83a301cc-b4a7-4995-c567-cc7b2d8765b6","executionInfo":{"status":"ok","timestamp":1546324106507,"user_tz":-480,"elapsed":742,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["l2 = []\n","l2test = []\n","Xtrain, Xtest, Ytrain, Ytest = train_test_split(X,y,test_size=0.3,random_state=420)\n","for i in np.arange(1,201,10):\n","    lrl2 = LR(penalty=\"l2\",solver=\"liblinear\",C=0.9,max_iter=i)\n","    lrl2 = lrl2.fit(Xtrain,Ytrain)\n","    l2.append(accuracy_score(lrl2.predict(Xtrain),Ytrain))\n","    l2test.append(accuracy_score(lrl2.predict(Xtest),Ytest))"],"execution_count":29,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/sklearn/svm/base.py:922: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n","  \"the number of iterations.\", ConvergenceWarning)\n","/usr/local/lib/python3.6/dist-packages/sklearn/svm/base.py:922: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n","  \"the number of iterations.\", ConvergenceWarning)\n","/usr/local/lib/python3.6/dist-packages/sklearn/svm/base.py:922: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n","  \"the number of iterations.\", ConvergenceWarning)\n"],"name":"stderr"}]},{"metadata":{"id":"V7yJll5RGT5p","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":340},"outputId":"6d2d57b6-1f28-405c-901f-84b67bd97603","executionInfo":{"status":"ok","timestamp":1546324123310,"user_tz":-480,"elapsed":866,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["graph = [l2,l2test]\n","color = [\"black\",\"gray\"]\n","label = [\"L2\",\"L2test\"]\n","plt.figure(figsize=(20,5))\n","for i in range(len(graph)):\n","    plt.plot(np.arange(1,201,10),graph[i],color[i],label=label[i])\n","plt.legend(loc=4)\n","plt.xticks(np.arange(1,201,10))\n","plt.show()"],"execution_count":30,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABIUAAAEvCAYAAADb83GCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nm6/riiuu0Jo1/59CQkKMH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Rs2rFNCQqJGjRrd6fmHDx9UY2OD4uMTZbVae2FCAAAAAADQ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\nc+dO/fa3v1VCQsJ5f6empuFSs/QZn3/+uSRp2LB4VVaeM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1m7dq3WUW9ZXl4eBoPhupvK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\n","text/plain":["<matplotlib.figure.Figure at 0x7f78e2078668>"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"HoEmgZoPF_W6","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":34},"outputId":"48692fca-d6f6-4822-d634-da2b52aef7c9","executionInfo":{"status":"ok","timestamp":1546324130752,"user_tz":-480,"elapsed":646,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["#我们可以使用属性.n_iter_来调用本次求解中真正实现的迭代次数\n","lr = LR(penalty=\"l2\",solver=\"liblinear\",C=0.9,max_iter=300).fit(Xtrain,Ytrain)\n","lr.n_iter_"],"execution_count":31,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([24], dtype=int32)"]},"metadata":{"tags":[]},"execution_count":31}]},{"metadata":{"id":"gBJw-Lu8GkTl","colab_type":"text"},"cell_type":"markdown","source":["# 二元回归与多元回归：重要参数solver & multi_class"]},{"metadata":{"id":"L5api7V-GbiV","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":139},"outputId":"f2c3dba4-a900-4cd7-af95-64dcfcd640c9","executionInfo":{"status":"ok","timestamp":1546328720623,"user_tz":-480,"elapsed":717,"user":{"displayName":"Sen Yang","photoUrl":"","userId":"00832503676208839570"}}},"cell_type":"code","source":["from sklearn.datasets import load_iris\n","iris = load_iris()\n","for multi_class in ('multinomial', 'ovr'):\n","    clf = LR(solver='sag', max_iter=100, random_state=42,\n","                            multi_class=multi_class).fit(iris.data, iris.target)\n","#打印两种multi_class模式下的训练分数\n","#%的用法，用%来代替打印的字符串中，想由变量替换的部分。%.3f表示，保留三位小数的浮点数。%s表示，字符串。\n","#字符串后的%后使用元祖来容纳变量，字符串中有几个%，元祖中就需要有几个变量\n","    print(\"training score : %.3f (%s)\" % (clf.score(iris.data, iris.target),multi_class))"],"execution_count":35,"outputs":[{"output_type":"stream","text":["training score : 0.987 (multinomial)\n","training score : 0.960 (ovr)\n"],"name":"stdout"},{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/sag.py:334: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n","  \"the coef_ did not converge\", ConvergenceWarning)\n","/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/sag.py:334: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge\n","  \"the coef_ did not converge\", ConvergenceWarning)\n"],"name":"stderr"}]},{"metadata":{"id":"JjHAXCB4W1Qg","colab_type":"text"},"cell_type":"markdown","source":["# 样本不平衡与参数class_weight"]},{"metadata":{"id":"Y4GUJ69OTka-","colab_type":"code","colab":{}},"cell_type":"code","source":[""],"execution_count":0,"outputs":[]}]}